Project acronym ADAPTIVE
Project Industrial implementation of adaptive computational methods for turbulent flow and fluid-structure interaction
Researcher (PI) Johan Kjell Robert Hoffman
Host Institution (HI) KUNGLIGA TEKNISKA HOEGSKOLAN
Call Details Proof of Concept (PoC), PC1, ERC-2014-PoC
Summary The ERC StG project UNICON (Project ID 202984) was completed in July 2013. The goal of UNICON was to develop new adaptive finite element methods for computer simulation of fluid-structure interaction, in particular for problems involving turbulent flow. Simulation of turbulent flow is an outstanding computational challenge, where the UNICON project made significant progress beyond the state of the art. The scientific results of the UNICON project include a new theoretical and methodological framework, and a computer implementation of the methods as open source software, published as part of the FEniCS project, co-founded by the PI (Hoffman) in 2003. FEniCS is today a world leading open source software for computer simulation based on differential equations, with an estimated 50 000 downloads per year, and the PI today leads the PRACE Tier-0 project FEniCS-HPC, in which algorithms and software are developed for the most powerful supercomputers in Europe. Compared to competing simulation software, free as well as commercial, UNICON computational technology has proven to exhibit unique features with respect to accuracy and efficiency.
The idea of this ERC PoC project is to commercialize the UNICON simulation technology. In particular, ADAPTIVE targets civil (non-military) industry, with a focus on subsonic fluid dynamics. The strategy is to deliver services and products tailored to each customer, from deliverance of a simulation result, to education and support for integration of the simulation tools in the workflow of a customer.
Summary
The ERC StG project UNICON (Project ID 202984) was completed in July 2013. The goal of UNICON was to develop new adaptive finite element methods for computer simulation of fluid-structure interaction, in particular for problems involving turbulent flow. Simulation of turbulent flow is an outstanding computational challenge, where the UNICON project made significant progress beyond the state of the art. The scientific results of the UNICON project include a new theoretical and methodological framework, and a computer implementation of the methods as open source software, published as part of the FEniCS project, co-founded by the PI (Hoffman) in 2003. FEniCS is today a world leading open source software for computer simulation based on differential equations, with an estimated 50 000 downloads per year, and the PI today leads the PRACE Tier-0 project FEniCS-HPC, in which algorithms and software are developed for the most powerful supercomputers in Europe. Compared to competing simulation software, free as well as commercial, UNICON computational technology has proven to exhibit unique features with respect to accuracy and efficiency.
The idea of this ERC PoC project is to commercialize the UNICON simulation technology. In particular, ADAPTIVE targets civil (non-military) industry, with a focus on subsonic fluid dynamics. The strategy is to deliver services and products tailored to each customer, from deliverance of a simulation result, to education and support for integration of the simulation tools in the workflow of a customer.
Max ERC Funding
146 897 €
Duration
Start date: 2015-04-01, End date: 2016-09-30
Project acronym ADDABU
Project Automated detection of damage to buildings
Researcher (PI) Luc VAN GOOL
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Proof of Concept (PoC), ERC-2017-PoC
Summary Hail and storm damages represent the most often occurring cases for building insurance companies. Currently, the damage is estimated by an insurance expert, visiting the damaged building and drafting a report. Researchers at the Computer Vision Lab at ETH Zurich joined forces with business and sales people, spinning out the company Casalva, to strongly reduce such costs via automated image analysis. The idea is that the insurers’ clients upload photos of the damages, which will then be analyzed automatically by a computer. This involves computer vision technologies – grounded in the ERC project VarCity – to recognize the damaged building structures and to analyze the corresponding textures as to assess the extent of the damage and the estimated costs for its repair. Cutting costs is not the only consideration, as the fast assessment of damages improves customer satisfaction and prevents the occurrence of additional damages because of a delayed repair (like water leaking before repair). Such follow-on damages are estimated to be 20% of overall costs on average and are therefore far from negligible. Guaranteeing a short term response currently is a major issue, as a single storm may affect thousands of buildings. Processing times tend to stretch out due to the peak in cases following such extreme weather events. Over half of hail storm damage cases concern facade structures. The VarCity project produced methods to automatically parse facades into such structures, and to select the best way to describe their textures. These will be refined to optimally deal with the application area. The remaining technical developments and risk mitigations will be funded through other means (a Swiss project that has already been submitted), while this Proof-of-Concept project will focus on equally important aspects like market analysis, development of a corporate identity and graphical house style for the Casalva spin-off, that has been created but should now get market introduction.
Summary
Hail and storm damages represent the most often occurring cases for building insurance companies. Currently, the damage is estimated by an insurance expert, visiting the damaged building and drafting a report. Researchers at the Computer Vision Lab at ETH Zurich joined forces with business and sales people, spinning out the company Casalva, to strongly reduce such costs via automated image analysis. The idea is that the insurers’ clients upload photos of the damages, which will then be analyzed automatically by a computer. This involves computer vision technologies – grounded in the ERC project VarCity – to recognize the damaged building structures and to analyze the corresponding textures as to assess the extent of the damage and the estimated costs for its repair. Cutting costs is not the only consideration, as the fast assessment of damages improves customer satisfaction and prevents the occurrence of additional damages because of a delayed repair (like water leaking before repair). Such follow-on damages are estimated to be 20% of overall costs on average and are therefore far from negligible. Guaranteeing a short term response currently is a major issue, as a single storm may affect thousands of buildings. Processing times tend to stretch out due to the peak in cases following such extreme weather events. Over half of hail storm damage cases concern facade structures. The VarCity project produced methods to automatically parse facades into such structures, and to select the best way to describe their textures. These will be refined to optimally deal with the application area. The remaining technical developments and risk mitigations will be funded through other means (a Swiss project that has already been submitted), while this Proof-of-Concept project will focus on equally important aspects like market analysis, development of a corporate identity and graphical house style for the Casalva spin-off, that has been created but should now get market introduction.
Max ERC Funding
143 750 €
Duration
Start date: 2017-09-01, End date: 2018-08-31
Project acronym Andrea
Project A Novel Detection protocols for REliable prostate cancer Assays
Researcher (PI) Jan TKAC
Host Institution (HI) CHEMICKY USTAV SLOVENSKEJ AKADEMIEVIED
Call Details Proof of Concept (PoC), ERC-2018-PoC
Summary The technology validation was successfully completed indicating a great commercial potential, and the innovative and inventive aspects of the assay platform are now covered by the filed priority European Patent Office (EPO) patent applications. Validated glycoprofiling of the proteins now uses lectins in a format, fully compatible with clinical PSA assay kits. This PoC grant focuses on 1. Pre-clinical retrospective validation of the early stage biomarker of prostate cancer (PCa) and 2. Commercialisation of the PCa diagnostics kit. Pre-clinical (60 human serum samples) is ongoing and retrospective validation study (450 human serum samples) of the assay will be performed by statistical analysis using a receiver operating characteristic (ROC) curve. The PoC describes all steps, which have been developed so far and all necessary steps, which need to be done for retrospective validation study, product development and commercialisation through our newly incorporated start-up Glycanostics Ltd. (www.glycanostics.com). We will provide PCa diagnostic test resulting in a second opinion to guide the right decision if the biopsy is needed. This will avoid the needless and unreliable biopsies and in the future rival an inaccurate PSA testing.
Summary
The technology validation was successfully completed indicating a great commercial potential, and the innovative and inventive aspects of the assay platform are now covered by the filed priority European Patent Office (EPO) patent applications. Validated glycoprofiling of the proteins now uses lectins in a format, fully compatible with clinical PSA assay kits. This PoC grant focuses on 1. Pre-clinical retrospective validation of the early stage biomarker of prostate cancer (PCa) and 2. Commercialisation of the PCa diagnostics kit. Pre-clinical (60 human serum samples) is ongoing and retrospective validation study (450 human serum samples) of the assay will be performed by statistical analysis using a receiver operating characteristic (ROC) curve. The PoC describes all steps, which have been developed so far and all necessary steps, which need to be done for retrospective validation study, product development and commercialisation through our newly incorporated start-up Glycanostics Ltd. (www.glycanostics.com). We will provide PCa diagnostic test resulting in a second opinion to guide the right decision if the biopsy is needed. This will avoid the needless and unreliable biopsies and in the future rival an inaccurate PSA testing.
Max ERC Funding
149 500 €
Duration
Start date: 2018-12-01, End date: 2020-05-31
Project acronym Bcl-Inhib
Project Discovery of Bcl-3 inhibitors as Potential Chemopreventive Agent for skin cancer
Researcher (PI) Ramin Masoumi
Host Institution (HI) LUNDS UNIVERSITET
Call Details Proof of Concept (PoC), ERC-2015-PoC, ERC-2015-PoC
Summary Melanoma is one of the fastest growing cancers worldwide, especially in regions with a high number of Caucasians such as Europe. Currently, 100,000 diagnoses and 5,000 deaths from melanoma are registered in Europe every year. This increase in melanoma incidence is a serious health problem and poses an economic as well as societal concern. The survival in patients with malignant melanoma is very poor with a five year survival rate of about 10%. Indeed, the current clinical therapies against malignant and metastatic melanoma have a relatively low efficacy and are associated with significant adverse events. Therefore there is an urgent need for development of novel drugs that can cure or prolong the survival of these patients. Molecular targeted therapy by using a drug that reduces the growth and spread of cancer cells via inhibition of a specific protein is a foundation stone of precision medicine and treatment. We have identified a lead molecule that inhibits proliferation and metastasis of human malignant melanoma cells. The present proof-of-concept proposal aims at lead optimization, preclinical verification, IPR positioning, market assessment, and other commercial activities including go to market strategy and dialogue with potential collaborators. This will make a unique medical and commercial opportunity to develop a highly specific drug against a disease in urgent need of new treatment options.
Summary
Melanoma is one of the fastest growing cancers worldwide, especially in regions with a high number of Caucasians such as Europe. Currently, 100,000 diagnoses and 5,000 deaths from melanoma are registered in Europe every year. This increase in melanoma incidence is a serious health problem and poses an economic as well as societal concern. The survival in patients with malignant melanoma is very poor with a five year survival rate of about 10%. Indeed, the current clinical therapies against malignant and metastatic melanoma have a relatively low efficacy and are associated with significant adverse events. Therefore there is an urgent need for development of novel drugs that can cure or prolong the survival of these patients. Molecular targeted therapy by using a drug that reduces the growth and spread of cancer cells via inhibition of a specific protein is a foundation stone of precision medicine and treatment. We have identified a lead molecule that inhibits proliferation and metastasis of human malignant melanoma cells. The present proof-of-concept proposal aims at lead optimization, preclinical verification, IPR positioning, market assessment, and other commercial activities including go to market strategy and dialogue with potential collaborators. This will make a unique medical and commercial opportunity to develop a highly specific drug against a disease in urgent need of new treatment options.
Max ERC Funding
150 000 €
Duration
Start date: 2015-11-01, End date: 2017-04-30
Project acronym BETASCREEN
Project Validation of an in vivo translational medicine approach for the treatment of diabetes and diabetes complications
Researcher (PI) Yngve Per-Olof BERGGREN
Host Institution (HI) KAROLINSKA INSTITUTET
Call Details Proof of Concept (PoC), ERC-2016-PoC, ERC-2016-PoC
Summary Validation of an in vivo translational medicine approach for the treatment of diabetes and diabetes complications
To develop new drugs for treatment of diabetes, there is an immediate need for an in vivo approach allowing the assessment of β-cell function and survival in the living organism non-invasively, longitudinally and at single-cell resolution. We therefore transplant pancreatic islets into the anterior chamber of the eye (ACE) of mice for functional microscopic imaging. In the ACE islets become vascularized and innervated, and various aspects of β-cell function and survival can be readily imaged. Functional studies demonstrate that engrafted islets in the eye serve as representative reporters of endogenous islets in the pancreas of the same animal. We have extensively in vitro tested fluorescent biosensors that reflect key-events in β-cell function and survival. Following intraocular transplantation of human islets expressing biosensors in their β-cells into healthy or diabetic mice, they will allow non-invasive, longitudinal in vivo monitoring of 1) Ca2+ handling, 2) functional β-cell mass, 3) apoptosis and 4) proliferation. Based on the in vitro tested biosensors, the major objective is to establish a robust pharma-industry in vivo platform for validating newly developed diabetes treatment lead-compounds in early drug development. This screening service shall be performed on a commercial basis. The milestone of this proposal, to be achieved within 18 months, is the validation of the in vivo platform for testing the effects of new potential diabetes medicines on human β-cell function and survival in normal and diabetic mice.
Summary
Validation of an in vivo translational medicine approach for the treatment of diabetes and diabetes complications
To develop new drugs for treatment of diabetes, there is an immediate need for an in vivo approach allowing the assessment of β-cell function and survival in the living organism non-invasively, longitudinally and at single-cell resolution. We therefore transplant pancreatic islets into the anterior chamber of the eye (ACE) of mice for functional microscopic imaging. In the ACE islets become vascularized and innervated, and various aspects of β-cell function and survival can be readily imaged. Functional studies demonstrate that engrafted islets in the eye serve as representative reporters of endogenous islets in the pancreas of the same animal. We have extensively in vitro tested fluorescent biosensors that reflect key-events in β-cell function and survival. Following intraocular transplantation of human islets expressing biosensors in their β-cells into healthy or diabetic mice, they will allow non-invasive, longitudinal in vivo monitoring of 1) Ca2+ handling, 2) functional β-cell mass, 3) apoptosis and 4) proliferation. Based on the in vitro tested biosensors, the major objective is to establish a robust pharma-industry in vivo platform for validating newly developed diabetes treatment lead-compounds in early drug development. This screening service shall be performed on a commercial basis. The milestone of this proposal, to be achieved within 18 months, is the validation of the in vivo platform for testing the effects of new potential diabetes medicines on human β-cell function and survival in normal and diabetic mice.
Max ERC Funding
149 365 €
Duration
Start date: 2017-02-01, End date: 2018-07-31
Project acronym BINARYBIO
Project Commercialization of distributed & cloud solutions for biomolecular simulation and free energy calculation
Researcher (PI) Erik LINDAHL
Host Institution (HI) SERENDIPITY INNOVATIONS AB
Call Details Proof of Concept (PoC), PC1, ERC-2011-PoC
Summary "Computational chemistry is playing an increasingly important role for research in the pharmaceutical industry, oils & plastic, and materials development. Simulation and high-throughput screening can be orders of magnitude cheaper than experiments in the early stages of drug design. The ERC project preceding this application has developed several new techniques that make it orders-of-magnitude more efficient to calculate free energies from simulations rather than approximate docking screening. We have already had great academic success, but the requirement of large computer clusters or access to the Folding@Home network makes it difficult to implement in industry.
To address this, we have developed a new framework for peer-to-peer distributed computing combined with Markov state models (called “Copernicus”) to be presented at Supercomputing’11. Copernicus completely removes the need to deal with single simulations, and allows users to specify workflows - directly on their laptop - in terms of free energy calculations or sampling of complex processes such as protein folding. Workflows are transparently uploaded to a server and split into distributed calculation workunits (e.g. in a company), computer clusters, but also cloud computing to deal with peaks in usage. The results are again transparently moved to the user’s machine.
This provides a clear competitive advantage in terms of efficiency, and it removes all investment and support costs related to high-performance computing. This is of course not limited to molecular simulation, and in addition to the pharmaceutical track we want to investigate usage in the financial industry. We have just submitted a patent application for the dynamic data flow network that makes the peer-to-peer usage possible, but we would need a programmer to turn the research-level code into a working proof-of-concept for high-throughput screening applications in the pharmaceutical industry and another person to work on business development."
Summary
"Computational chemistry is playing an increasingly important role for research in the pharmaceutical industry, oils & plastic, and materials development. Simulation and high-throughput screening can be orders of magnitude cheaper than experiments in the early stages of drug design. The ERC project preceding this application has developed several new techniques that make it orders-of-magnitude more efficient to calculate free energies from simulations rather than approximate docking screening. We have already had great academic success, but the requirement of large computer clusters or access to the Folding@Home network makes it difficult to implement in industry.
To address this, we have developed a new framework for peer-to-peer distributed computing combined with Markov state models (called “Copernicus”) to be presented at Supercomputing’11. Copernicus completely removes the need to deal with single simulations, and allows users to specify workflows - directly on their laptop - in terms of free energy calculations or sampling of complex processes such as protein folding. Workflows are transparently uploaded to a server and split into distributed calculation workunits (e.g. in a company), computer clusters, but also cloud computing to deal with peaks in usage. The results are again transparently moved to the user’s machine.
This provides a clear competitive advantage in terms of efficiency, and it removes all investment and support costs related to high-performance computing. This is of course not limited to molecular simulation, and in addition to the pharmaceutical track we want to investigate usage in the financial industry. We have just submitted a patent application for the dynamic data flow network that makes the peer-to-peer usage possible, but we would need a programmer to turn the research-level code into a working proof-of-concept for high-throughput screening applications in the pharmaceutical industry and another person to work on business development."
Max ERC Funding
122 600 €
Duration
Start date: 2012-08-01, End date: 2013-07-31
Project acronym BioBarPro
Project A Hot-Spot Bio-Barcode Strategy for Prognostic Biomarkers In Colorectal Cancer
Researcher (PI) Shana Sturla
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Proof of Concept (PoC), ERC-2015-PoC, ERC-2015-PoC
Summary Colorectal cancer (CRC) is caused by alterations in genes that regulate tissue growth and the risk of developing CRC is influenced by a combination of environmental and genetic factors. Although CRC is often preventable by removing precursor lesions, screening efforts have been hampered by low participation rates and by performance limitations of the screening tools themselves. Detection of blood in faeces is currently the most common screening tool, while stool DNA testing of molecular markers has emerged as a biologically rational and user-friendly strategy for the non-invasive detection of CRC and critical precursor lesions. This advance has significantly increased performance in detecting CRC, but still more than half of the precancerous lesions cannot be detected. The stool DNA test performance for detecting precancerous lesions is expected to be improved substantively by including a completely new type of biomarker, those formed earlier than genetic mutations in the process of carcinogenesis. Such biomarkers are DNA adducts; DNA molecules bound to chemicals. If not repaired, these DNA adducts generate mutations. Herein, we propose to expand an ERC-funded research result into a kit for measuring CRC-initiating DNA adducts in a stool sample. This kit will enable personalized feedback that quantitatively integrates environmental and genetic factors in colon-cancer associated DNA damage. We have filed a patent application for the chemical basis of the technology and have partnered with an ETH spin-off for the scientific development of our existing proof of principle assay to a prototype kit. In parallel to the scientific work, during the Proof of Concept phase, we will address a phase of the overall commercialization plan that involves licensing the technology to a business partner in the life sciences sector.
Summary
Colorectal cancer (CRC) is caused by alterations in genes that regulate tissue growth and the risk of developing CRC is influenced by a combination of environmental and genetic factors. Although CRC is often preventable by removing precursor lesions, screening efforts have been hampered by low participation rates and by performance limitations of the screening tools themselves. Detection of blood in faeces is currently the most common screening tool, while stool DNA testing of molecular markers has emerged as a biologically rational and user-friendly strategy for the non-invasive detection of CRC and critical precursor lesions. This advance has significantly increased performance in detecting CRC, but still more than half of the precancerous lesions cannot be detected. The stool DNA test performance for detecting precancerous lesions is expected to be improved substantively by including a completely new type of biomarker, those formed earlier than genetic mutations in the process of carcinogenesis. Such biomarkers are DNA adducts; DNA molecules bound to chemicals. If not repaired, these DNA adducts generate mutations. Herein, we propose to expand an ERC-funded research result into a kit for measuring CRC-initiating DNA adducts in a stool sample. This kit will enable personalized feedback that quantitatively integrates environmental and genetic factors in colon-cancer associated DNA damage. We have filed a patent application for the chemical basis of the technology and have partnered with an ETH spin-off for the scientific development of our existing proof of principle assay to a prototype kit. In parallel to the scientific work, during the Proof of Concept phase, we will address a phase of the overall commercialization plan that involves licensing the technology to a business partner in the life sciences sector.
Max ERC Funding
150 000 €
Duration
Start date: 2015-12-01, End date: 2017-05-31
Project acronym BioNote
Project BIONOTE– A CROWDSCIENCE PLATFORMFOR IDENTIFYING AND LEARNING ABOUT ALL SPECIES ON EARTH
Researcher (PI) Alexandre Marcos ANTONELLI
Host Institution (HI) GOETEBORGS UNIVERSITET
Call Details Proof of Concept (PoC), PC1, ERC-2015-PoC
Summary BIONOTE– A CROWDSCIENCE PLATFORM FOR IDENTIFYING AND LEARNING ABOUT ALL SPECIES ON EARTH
MAJOR GOAL: To inspire and empower people to identify, document, explore and protect the world’s biodiversity. BioNote will advance Europe’s commitment to monitor and protect biodiversity, by greatly facilitating access to species identifications worldwide. It will simultaneously increase information on where species occur for research, education, citizens, government and industry.
We share this planet with 7 million other species, many of which provide key services and goods for humans. But, the world's biodiversity is threatened today by urbanization and climate change. To protect the world's valuable biodiversity, citizen scientists need a way to easily identify species with their smartphones, and researchers need large datasets of species occurrences to build models. BioNote provides a platform the give both groups the tools they need. We will create the go-to software and data platform for species identification, collaboration and big data analysis, with our smartphone app and data portal.
BioNote will provide an increase in knowledge about biodiversity; a massive input of new species observation records; facilitate access to biodiversity data needed for decisions on land use; provide ~20 jobs to university-educated individuals in the EU, and ~100 in tropical regions in the next 4 years; and drastically lower the cost of biodiversity research.
BioNote has so far received initial funding from three different organizations who support and believe in BioNote's future, and formed an outstanding core team of scientists and experienced business people.
Summary
BIONOTE– A CROWDSCIENCE PLATFORM FOR IDENTIFYING AND LEARNING ABOUT ALL SPECIES ON EARTH
MAJOR GOAL: To inspire and empower people to identify, document, explore and protect the world’s biodiversity. BioNote will advance Europe’s commitment to monitor and protect biodiversity, by greatly facilitating access to species identifications worldwide. It will simultaneously increase information on where species occur for research, education, citizens, government and industry.
We share this planet with 7 million other species, many of which provide key services and goods for humans. But, the world's biodiversity is threatened today by urbanization and climate change. To protect the world's valuable biodiversity, citizen scientists need a way to easily identify species with their smartphones, and researchers need large datasets of species occurrences to build models. BioNote provides a platform the give both groups the tools they need. We will create the go-to software and data platform for species identification, collaboration and big data analysis, with our smartphone app and data portal.
BioNote will provide an increase in knowledge about biodiversity; a massive input of new species observation records; facilitate access to biodiversity data needed for decisions on land use; provide ~20 jobs to university-educated individuals in the EU, and ~100 in tropical regions in the next 4 years; and drastically lower the cost of biodiversity research.
BioNote has so far received initial funding from three different organizations who support and believe in BioNote's future, and formed an outstanding core team of scientists and experienced business people.
Max ERC Funding
149 427 €
Duration
Start date: 2016-08-01, End date: 2017-07-31
Project acronym BioProbe-PIT
Project Local molecular profiling of tumor tissue sections: towards personalized immunotherapy
Researcher (PI) Govindkrishna KAIGALA
Host Institution (HI) IBM RESEARCH GMBH
Call Details Proof of Concept (PoC), ERC-2016-PoC, ERC-2016-PoC
Summary Cancer heterogeneity has reinforced the need for personalized treatment modalities. Pre-therapeutic diagnostic testing of heterogeneous tumors helps avoid inefficacious treatments, optimizes targeted therapy, and improves quality of life. Within targeted therapy, immunotherapy has led to significant improvements in treatment outcomes and is swiftly being integrated in diagnostic workflows. In this context, routine diagnostic tests currently do not exist, and treatments are further challenged by heterogeneity. Spatially resolved molecular probing of tumors prior to treatment would allow prediction of patient response to immunotherapeutics.
We have been developing methods to perform local biochemical reactions at micrometer length scales using nanoliter volumes of biochemicals. These methods are implemented using a scanning probe technology – the microfluidic probe (MFP) – with devices, platforms and assays adapted for application on biological substrates. With this, we are working towards multi-modal molecular profiling of tumors – tissue microprocessing (TMP). Thus far, we have demonstrated TMP for local DNA and mRNA analysis on live cells, for patterning cells and for micro-immunohistochemical tests on tissues.
Here, we will leverage TMP concepts to work on the initial steps in pre-commercializing the MFP for diagnostic testing in immunotherapy. Specifically, we aim to
(1) develop assays for morphological and molecular analyses of pancreatic tissues using the MFP
(2) adapt the assays developed in (1) to be compatible with workflows of state-of-the-art genome and transcriptome analysis for molecular profiling of tumors in diagnostics
(3) validate these techniques for patient samples.
With this PoC grant, we envision to translate the MFP technology from the lab to the clinic for personalized immunotherapy.
Summary
Cancer heterogeneity has reinforced the need for personalized treatment modalities. Pre-therapeutic diagnostic testing of heterogeneous tumors helps avoid inefficacious treatments, optimizes targeted therapy, and improves quality of life. Within targeted therapy, immunotherapy has led to significant improvements in treatment outcomes and is swiftly being integrated in diagnostic workflows. In this context, routine diagnostic tests currently do not exist, and treatments are further challenged by heterogeneity. Spatially resolved molecular probing of tumors prior to treatment would allow prediction of patient response to immunotherapeutics.
We have been developing methods to perform local biochemical reactions at micrometer length scales using nanoliter volumes of biochemicals. These methods are implemented using a scanning probe technology – the microfluidic probe (MFP) – with devices, platforms and assays adapted for application on biological substrates. With this, we are working towards multi-modal molecular profiling of tumors – tissue microprocessing (TMP). Thus far, we have demonstrated TMP for local DNA and mRNA analysis on live cells, for patterning cells and for micro-immunohistochemical tests on tissues.
Here, we will leverage TMP concepts to work on the initial steps in pre-commercializing the MFP for diagnostic testing in immunotherapy. Specifically, we aim to
(1) develop assays for morphological and molecular analyses of pancreatic tissues using the MFP
(2) adapt the assays developed in (1) to be compatible with workflows of state-of-the-art genome and transcriptome analysis for molecular profiling of tumors in diagnostics
(3) validate these techniques for patient samples.
With this PoC grant, we envision to translate the MFP technology from the lab to the clinic for personalized immunotherapy.
Max ERC Funding
150 000 €
Duration
Start date: 2017-08-01, End date: 2018-07-31
Project acronym CancerFingerPrints
Project Identification of nano-mechanical fingerprints as a biomarker for cancer treatment prognosis
Researcher (PI) Triantafyllos STYLIANOPOULOS
Host Institution (HI) UNIVERSITY OF CYPRUS
Call Details Proof of Concept (PoC), ERC-2018-PoC
Summary In the fight against cancer, it is well recognized that tumors are highly heterogeneous and they might differ considerably not only between tumors types but also among tumors of the same type or even for the same tumor during progression. As a result, the efficacy of standard cancer chemotherapies varies, and while some patients respond to a particular treatment, other patients do not gain any benefit and in many cases, the condition of the patient deteriorates due to adverse effects. Consequently, crucial in cancer therapy is the prediction of a patient’s response to treatment. Failure of standard therapies has led to the introduction of a new era of personalized, patient-specific treatments, which are based on the identification of biomarkers that characterize the state of a particular tumor. Many solid tumors (e.g., breast cancers and sarcomas) stiffen as they grow in a host’s normal tissue. Stiffening is caused by an increase in the structural components of the tumor. As tumor tissue becomes stiffer, mechanical forces are generated within the tumor, that cause the compression of intratumoral blood vessels, resulting in compromised vessel functionality, which leads to poor drug delivery and therapeutic outcomes. Recently, it has been demonstrated that “stress-alleviation” strategy, which uses anti-fibrotic agents to promote tumor softening, improves uniform delivery of drugs and enhances therapy. Here, we propose the use of state-of-the-art Atomic Force Microscopy-AFM techniques for the development of a NanoMechanical biomarker, which will quantify the mechanical FingerPrints of Cancer. This biomarker will aim to: (i)predict the patient’s response to treatment with chemotherapy and (ii)monitor treatment outcomes, in the case of strategies that target tumor mechanical properties (e.g., stress-alleviation therapy). Furthermore, we propose to develop an AFM-based software product to be used as a commercial tool for the measurement of the NanoMechanical biomarker.
Summary
In the fight against cancer, it is well recognized that tumors are highly heterogeneous and they might differ considerably not only between tumors types but also among tumors of the same type or even for the same tumor during progression. As a result, the efficacy of standard cancer chemotherapies varies, and while some patients respond to a particular treatment, other patients do not gain any benefit and in many cases, the condition of the patient deteriorates due to adverse effects. Consequently, crucial in cancer therapy is the prediction of a patient’s response to treatment. Failure of standard therapies has led to the introduction of a new era of personalized, patient-specific treatments, which are based on the identification of biomarkers that characterize the state of a particular tumor. Many solid tumors (e.g., breast cancers and sarcomas) stiffen as they grow in a host’s normal tissue. Stiffening is caused by an increase in the structural components of the tumor. As tumor tissue becomes stiffer, mechanical forces are generated within the tumor, that cause the compression of intratumoral blood vessels, resulting in compromised vessel functionality, which leads to poor drug delivery and therapeutic outcomes. Recently, it has been demonstrated that “stress-alleviation” strategy, which uses anti-fibrotic agents to promote tumor softening, improves uniform delivery of drugs and enhances therapy. Here, we propose the use of state-of-the-art Atomic Force Microscopy-AFM techniques for the development of a NanoMechanical biomarker, which will quantify the mechanical FingerPrints of Cancer. This biomarker will aim to: (i)predict the patient’s response to treatment with chemotherapy and (ii)monitor treatment outcomes, in the case of strategies that target tumor mechanical properties (e.g., stress-alleviation therapy). Furthermore, we propose to develop an AFM-based software product to be used as a commercial tool for the measurement of the NanoMechanical biomarker.
Max ERC Funding
150 000 €
Duration
Start date: 2019-05-01, End date: 2020-10-31
Project acronym CanSel
Project Highly selective customizable therapy for metastatic tumors
Researcher (PI) Yaakov BENENSON
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Proof of Concept (PoC), PC1, ERC-2012-PoC
Summary The ERC starting grant CellControl awarded to the Principal Investigator Yaakov Benenson funds research directed toward rational design and construction of gene circuits and networks for programmable control of cell physiology. One of the potential applications of this research is in the development of next-generation anticancer treatments that incorporate recently acquired knowledge on the complexity of cancer-related regulatory pathways, tumor development and differentiation, and the rise of cancer clones resistant to standard therapies. These new treatments are necessarily more complex than small molecule drugs, yet they are within reach of latest tools developed in gene therapy and they hold the promise of much higher efficacy and lower toxicity as well as robustness to the emergence of resistant clones. Thus our approach could be of great potential for treating metastatic and primary malignant tumors.
We have already shown an engineered circuit that selectively detects and eliminates specific cancer cells in vitro. Powered by additional developments in the framework of the ERC starting grant, we have designed an even safer and more selective circuit that can serve as a starting point for pre-clinical and eventually clinical testing. In this proposal we describe proof-of-concept experiments that will show feasibility of our approach in a mouse model. Successful demonstration will pave the way to large-scale translational R&D financed by private investors, and eventually to the deployment of these new therapies in the clinic.
Summary
The ERC starting grant CellControl awarded to the Principal Investigator Yaakov Benenson funds research directed toward rational design and construction of gene circuits and networks for programmable control of cell physiology. One of the potential applications of this research is in the development of next-generation anticancer treatments that incorporate recently acquired knowledge on the complexity of cancer-related regulatory pathways, tumor development and differentiation, and the rise of cancer clones resistant to standard therapies. These new treatments are necessarily more complex than small molecule drugs, yet they are within reach of latest tools developed in gene therapy and they hold the promise of much higher efficacy and lower toxicity as well as robustness to the emergence of resistant clones. Thus our approach could be of great potential for treating metastatic and primary malignant tumors.
We have already shown an engineered circuit that selectively detects and eliminates specific cancer cells in vitro. Powered by additional developments in the framework of the ERC starting grant, we have designed an even safer and more selective circuit that can serve as a starting point for pre-clinical and eventually clinical testing. In this proposal we describe proof-of-concept experiments that will show feasibility of our approach in a mouse model. Successful demonstration will pave the way to large-scale translational R&D financed by private investors, and eventually to the deployment of these new therapies in the clinic.
Max ERC Funding
149 499 €
Duration
Start date: 2013-07-01, End date: 2014-12-31
Project acronym CARBOTIGHT
Project Diffusion Barrier Layers and Anticorrosive Coatings from Functional Carbon Nanosheets
Researcher (PI) Holger FRAUENRATH
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Proof of Concept (PoC), PC1, ERC-2015-PoC
Summary Materials with excellent diffusion barrier properties are highly relevant for packaging applications (food, pharmaceutics), sealing (car tires), protective encapsulation (microelectronics, photovoltaics, displays), and anticorrosive coatings (automotive). In all these fields of application, there is a strong technological demand for more effective, less costly, and environmentally benign solutions, which constitutes a significant business opportunity. The proposed project aims to develop novel barrier layers and anticorrosive coatings based on functionalized carbon nanosheets that are prepared from reactive, carbon-rich molecular precursors with chemical functional groups that provide surface-specific binding and adhesion. These materials combine the excellent barrier and anticorrosive properties of atomically dense carbon or inorganic thin film coatings with the tailored surface properties of monolayer coatings. Moreover, their preparation will be compatible with scalable and inexpensive solution-phase processing methods such as painting, spraying, or printing, followed by UV curing. The goal of the proposed project is to provide technology demonstrators for a diffusion barrier layer aimed at packaging applications, as well as for a wear-resistant, anti-corrosive coating on a metal surface.
Summary
Materials with excellent diffusion barrier properties are highly relevant for packaging applications (food, pharmaceutics), sealing (car tires), protective encapsulation (microelectronics, photovoltaics, displays), and anticorrosive coatings (automotive). In all these fields of application, there is a strong technological demand for more effective, less costly, and environmentally benign solutions, which constitutes a significant business opportunity. The proposed project aims to develop novel barrier layers and anticorrosive coatings based on functionalized carbon nanosheets that are prepared from reactive, carbon-rich molecular precursors with chemical functional groups that provide surface-specific binding and adhesion. These materials combine the excellent barrier and anticorrosive properties of atomically dense carbon or inorganic thin film coatings with the tailored surface properties of monolayer coatings. Moreover, their preparation will be compatible with scalable and inexpensive solution-phase processing methods such as painting, spraying, or printing, followed by UV curing. The goal of the proposed project is to provide technology demonstrators for a diffusion barrier layer aimed at packaging applications, as well as for a wear-resistant, anti-corrosive coating on a metal surface.
Max ERC Funding
149 500 €
Duration
Start date: 2016-02-01, End date: 2017-01-31
Project acronym Cellphmed
Project Accurate cell signatures for the advancement of personalized medicine
Researcher (PI) Didier Trono
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Proof of Concept (PoC), PC1, ERC-2016-PoC
Summary Patient/individual specific cells, including induced pluripotent stem (iPS) cells will be crucial in defining tomorrow’s medicine owing to their uses in drug discovery, immunotherapy or cell therapy. These clinical applications require the utmost accurate and reliable identity and purity testing, however, the majority of cells stored worldwide fall short of a sufficient level of characterisation. This project aims at validatating and commercializing an innovative method of diagnostic and quality control for human cells. It is based on our unprecedented ability to measure the expression of millions of uncharted RNA biomarkers called TEs, genetic units that contribute over 50% of the genome but that have been completely disregarded until very recently, mainly due to the challenge imposed by their complex analysis. Our new methodology provides a high-density barcode of cellular identity, opening the door for individual-specific cells to broad applications in biotechnology and medicine alike.
Summary
Patient/individual specific cells, including induced pluripotent stem (iPS) cells will be crucial in defining tomorrow’s medicine owing to their uses in drug discovery, immunotherapy or cell therapy. These clinical applications require the utmost accurate and reliable identity and purity testing, however, the majority of cells stored worldwide fall short of a sufficient level of characterisation. This project aims at validatating and commercializing an innovative method of diagnostic and quality control for human cells. It is based on our unprecedented ability to measure the expression of millions of uncharted RNA biomarkers called TEs, genetic units that contribute over 50% of the genome but that have been completely disregarded until very recently, mainly due to the challenge imposed by their complex analysis. Our new methodology provides a high-density barcode of cellular identity, opening the door for individual-specific cells to broad applications in biotechnology and medicine alike.
Max ERC Funding
149 875 €
Duration
Start date: 2017-07-01, End date: 2018-12-31
Project acronym CellProbe
Project CellProbe: Microfluidic probe for simultaneous tagging and extraction of single cells
Researcher (PI) Govindkrishna KAIGALA
Host Institution (HI) IBM RESEARCH GMBH
Call Details Proof of Concept (PoC), ERC-2018-PoC
Summary Having developed a liquid scanning probe - microfluidic probe (MFP) - for creating spatially-defined microscale biochemical environments and microscale molecular assays within the ERC-BioProbe project, in this proof-of-concept project, - CellProbe - we seek to leverage this technology toward realization of a commercially viable single-cell analysis platform
Summary
Having developed a liquid scanning probe - microfluidic probe (MFP) - for creating spatially-defined microscale biochemical environments and microscale molecular assays within the ERC-BioProbe project, in this proof-of-concept project, - CellProbe - we seek to leverage this technology toward realization of a commercially viable single-cell analysis platform
Max ERC Funding
150 000 €
Duration
Start date: 2019-04-01, End date: 2020-09-30
Project acronym CfC
Project Carrier for Cure: tailored combination drug delivery solutions for oncology
Researcher (PI) Donald Michael Hilvert
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Proof of Concept (PoC), ERC-2017-PoC
Summary Chemotherapy, often given in conjunction with other therapies is infamous for its off target associated side effects. Recent studies have shown that drugs combinations can act synergistically at certain ratios and are more effective and less toxic than single drug therapies. Despite promising in vitro results, combination drug therapy for Oncology has not been successfully translated to the clinic due to lack of efficient delivery systems that can maintain the desired synergistic drug concentrations in the body as each drug has a different pharmacokinetics and toxicity profile. The objective of this project is to develop a universal platform for simultaneous delivery of multiple drugs to specific cells in vivo using a protein cage that was developed in our laboratory for encapsulation of diverse cargoes.
Summary
Chemotherapy, often given in conjunction with other therapies is infamous for its off target associated side effects. Recent studies have shown that drugs combinations can act synergistically at certain ratios and are more effective and less toxic than single drug therapies. Despite promising in vitro results, combination drug therapy for Oncology has not been successfully translated to the clinic due to lack of efficient delivery systems that can maintain the desired synergistic drug concentrations in the body as each drug has a different pharmacokinetics and toxicity profile. The objective of this project is to develop a universal platform for simultaneous delivery of multiple drugs to specific cells in vivo using a protein cage that was developed in our laboratory for encapsulation of diverse cargoes.
Max ERC Funding
150 000 €
Duration
Start date: 2017-11-01, End date: 2019-04-30
Project acronym CLIAS
Project Measurement and Control of Light Fields for Application in Science and Technology
Researcher (PI) Anne L'HUILLIER
Host Institution (HI) LUNDS UNIVERSITET
Call Details Proof of Concept (PoC), PC1, ERC-2013-PoC
Summary "Our research in attosecond science supported by the ERC advanced grant ALMA “Attosecond Control of Light and Matter”
has led us to develop a simple technique to fully characterize and control ultrashort laser electric fields. The characterization
and subsequent control can be divided into two parts:
- Measurement of the spectral phase of short light pulses by measuring second harmonic generation as a function of
dispersion introduced by e.g. a pair of glass wedges (""d-scan"" technique). From the “dispersion scans”, the spectral phase
of the pulse can be retrieved and then adjusted to perform compression of the laser pulses.
- Ultrafast measurement of the Carrier Envelope Phase offset of amplified laser pulses (""Ultrafast CEP"" technique). It is
based upon interferometry, where the second harmonic of the red edge of an octave-spanning spectrum is spectrally
interfered with the blue edge. In our implementation, the detector is a linear photodiode array and Field-Programmable Gate
Array based- electronics enables us to determine the CEP at a rate of up to 100 kHz.
The d-scan technique was invented in Lund in 2011 as a collaborative project between the University of Porto and Lund
University. An international patent application was filed on the 11th of October 2011 and published on the 18th of April 2013.
The “Ultrafast-CEP” technique was invented in Lund in 2010 and nicely complements the “d-scan” technique.
Our goal is to build a device for characterization and control of femtosecond pulses by combining both techniques and to commercialize it.
Our characterization device will be useful for the ultrafast laser community. This includes university laboratories and
research institutes in physics, chemistry, biology and medicine as well as biomedical and materials science industry."
Summary
"Our research in attosecond science supported by the ERC advanced grant ALMA “Attosecond Control of Light and Matter”
has led us to develop a simple technique to fully characterize and control ultrashort laser electric fields. The characterization
and subsequent control can be divided into two parts:
- Measurement of the spectral phase of short light pulses by measuring second harmonic generation as a function of
dispersion introduced by e.g. a pair of glass wedges (""d-scan"" technique). From the “dispersion scans”, the spectral phase
of the pulse can be retrieved and then adjusted to perform compression of the laser pulses.
- Ultrafast measurement of the Carrier Envelope Phase offset of amplified laser pulses (""Ultrafast CEP"" technique). It is
based upon interferometry, where the second harmonic of the red edge of an octave-spanning spectrum is spectrally
interfered with the blue edge. In our implementation, the detector is a linear photodiode array and Field-Programmable Gate
Array based- electronics enables us to determine the CEP at a rate of up to 100 kHz.
The d-scan technique was invented in Lund in 2011 as a collaborative project between the University of Porto and Lund
University. An international patent application was filed on the 11th of October 2011 and published on the 18th of April 2013.
The “Ultrafast-CEP” technique was invented in Lund in 2010 and nicely complements the “d-scan” technique.
Our goal is to build a device for characterization and control of femtosecond pulses by combining both techniques and to commercialize it.
Our characterization device will be useful for the ultrafast laser community. This includes university laboratories and
research institutes in physics, chemistry, biology and medicine as well as biomedical and materials science industry."
Max ERC Funding
149 954 €
Duration
Start date: 2014-05-01, End date: 2015-04-30
Project acronym Cluster-Buster
Project Development of small molecule inhibitors of circulating tumor cell clusters
Researcher (PI) Nicola ACETO
Host Institution (HI) UNIVERSITAT BASEL
Call Details Proof of Concept (PoC), ERC-2018-PoC
Summary Despite the great progress that has been made in treating cancer, metastasis remains incurable. Metastasis accounts for 8 million deaths per year worldwide and no agents are currently available to prevent the metastatic spread of cancer. The metastatic process begins with cancer cells leaving the primary tumor site and entering the blood circulation. In circulation, cancer cells are defined as circulating tumor cells (CTCs), and are typically found in the form of single CTCs or small CTC aggregates (CTC clusters). Upon dissemination and survival into distant organs, cancer cells give rise to proliferating metastatic lesions, which in turn can shed other CTCs and form additional metastases. While virtually all oncology-related drugs aim to kill cancer cells within a tumor, no drugs are available to target metastatic cells in circulation. As a consequence, no drugs are available to block or prevent the metastatic cascade.
We recently discovered that CTC clusters are exceptionally efficient metastatic precursors, capable to initiate a metastasis 50-times better than single CTCs. Within our ERC Starting Grant Project Holding-Hands, through a screen with 2’456 FDA-approved compounds, we discovered those that enable the disaggregation of CTC clusters in breast cancer mouse models and consequently, lead to metastasis suppression. This exciting new discovery implies that targeting CTC clusters is now feasible, and that this approach is likely to delay or prevent metastasis formation in cancer patients. Thus, within this Proof of Concept application, we aim to screen and patent additional cluster-targeting compounds with higher efficacy and better safety profile, to establish a new company whose aim is to commercialize cluster-targeting molecules, and to prepare for clinical trials.
Summary
Despite the great progress that has been made in treating cancer, metastasis remains incurable. Metastasis accounts for 8 million deaths per year worldwide and no agents are currently available to prevent the metastatic spread of cancer. The metastatic process begins with cancer cells leaving the primary tumor site and entering the blood circulation. In circulation, cancer cells are defined as circulating tumor cells (CTCs), and are typically found in the form of single CTCs or small CTC aggregates (CTC clusters). Upon dissemination and survival into distant organs, cancer cells give rise to proliferating metastatic lesions, which in turn can shed other CTCs and form additional metastases. While virtually all oncology-related drugs aim to kill cancer cells within a tumor, no drugs are available to target metastatic cells in circulation. As a consequence, no drugs are available to block or prevent the metastatic cascade.
We recently discovered that CTC clusters are exceptionally efficient metastatic precursors, capable to initiate a metastasis 50-times better than single CTCs. Within our ERC Starting Grant Project Holding-Hands, through a screen with 2’456 FDA-approved compounds, we discovered those that enable the disaggregation of CTC clusters in breast cancer mouse models and consequently, lead to metastasis suppression. This exciting new discovery implies that targeting CTC clusters is now feasible, and that this approach is likely to delay or prevent metastasis formation in cancer patients. Thus, within this Proof of Concept application, we aim to screen and patent additional cluster-targeting compounds with higher efficacy and better safety profile, to establish a new company whose aim is to commercialize cluster-targeting molecules, and to prepare for clinical trials.
Max ERC Funding
150 000 €
Duration
Start date: 2019-05-01, End date: 2020-10-31
Project acronym CODIC
Project COmmercializing first-in-class dCTPase Inhibitors for treatment of hematological Cancers
Researcher (PI) Ulf Thomas Edvard HELLEDAY
Host Institution (HI) KAROLINSKA INSTITUTET
Call Details Proof of Concept (PoC), PC1, ERC-2015-PoC
Summary In our ERC grant GEnetic NEtworks as a tool for anti-CAncer Drug Development we used siRNA screening and genetic
networks to identify dCTPase being involved in DNA repair and replication. Further studies revealed that dCTPase plays a
role in the degradation of nucleoside analogues used in cancer treatment. We then used an RNAi approach to validate
dCTPase as a target to improve nucleoside analogue therapy. The dCTPase protein was purified and we set up an
enzymatic high-throughput assay to screen >65,000 compounds, which generated hits that inhibit dCTPase
(IC50~1-10μM). Using in house medicinal chemistry we developed TH1217, a low nM potent and selective dCTPase
inhibitor with favourable pharmacokinetic properties. TH1217 synergistically induces apoptosis and cell death in
combination with cytidine analogue treatment in cancer cells in vitro and in vivo, but shows no increased toxicity in nontransformed
dividing cells. Here, we want to explore the commercial potential of the dCTPase inhibitors identified in the
ERC grant.
In this programme, we will, with the company Oxcia AB, establish the viability of the business programme using technical
analysis, develop a business strategy and direction, specifically secure IP, perform market analysis, develop a business
plan, manage preclinical development and prepare for clinical trials in collaboration with clinicians and regulatory bodies,
IMPD application to Medical Products Agency and identify and discuss with potential commercialization partners and
funding agencies to support cost of clinical trials. We have a non-profit foundation that owns our IP rights in an effort to
secure long term support for translational science aimed at bringing new therapies to patients. In our planned business
model, we start a new company that holds an exclusive license to the IP from the foundation which is used to develop the
overall business programme and attract investments.
Summary
In our ERC grant GEnetic NEtworks as a tool for anti-CAncer Drug Development we used siRNA screening and genetic
networks to identify dCTPase being involved in DNA repair and replication. Further studies revealed that dCTPase plays a
role in the degradation of nucleoside analogues used in cancer treatment. We then used an RNAi approach to validate
dCTPase as a target to improve nucleoside analogue therapy. The dCTPase protein was purified and we set up an
enzymatic high-throughput assay to screen >65,000 compounds, which generated hits that inhibit dCTPase
(IC50~1-10μM). Using in house medicinal chemistry we developed TH1217, a low nM potent and selective dCTPase
inhibitor with favourable pharmacokinetic properties. TH1217 synergistically induces apoptosis and cell death in
combination with cytidine analogue treatment in cancer cells in vitro and in vivo, but shows no increased toxicity in nontransformed
dividing cells. Here, we want to explore the commercial potential of the dCTPase inhibitors identified in the
ERC grant.
In this programme, we will, with the company Oxcia AB, establish the viability of the business programme using technical
analysis, develop a business strategy and direction, specifically secure IP, perform market analysis, develop a business
plan, manage preclinical development and prepare for clinical trials in collaboration with clinicians and regulatory bodies,
IMPD application to Medical Products Agency and identify and discuss with potential commercialization partners and
funding agencies to support cost of clinical trials. We have a non-profit foundation that owns our IP rights in an effort to
secure long term support for translational science aimed at bringing new therapies to patients. In our planned business
model, we start a new company that holds an exclusive license to the IP from the foundation which is used to develop the
overall business programme and attract investments.
Max ERC Funding
150 000 €
Duration
Start date: 2016-01-01, End date: 2017-06-30
Project acronym COREPOS
Project Cooperative Infrastructure Redundant Positioning by Consumer Devices - COREPOS
Researcher (PI) Björn OTTERSTEN
Host Institution (HI) KUNGLIGA TEKNISKA HOEGSKOLAN
Call Details Proof of Concept (PoC), PC1, ERC-2013-PoC
Summary More than 150 people die due to avalanche accidents every year; this figure could be drastically reduced were the victims to be swiftly localized: the survival rate is 90% if rescued within 15 minutes, but decreases to 25% after 45 minutes, due to asphyxiation.
Various specialized localization devices exist, but are typically difficult for the average user to operate, and the penetration among skiers is low. At the same time, the introduction of so-called smartphones is revolutionizing the use of mobile services and applications. Connecting clusters of smartphone which are in close proximity to each other offers the opportunity to solve localization problems which previously would not have been possible. These facts together motivate the initial focus of COREPOS: an app that can be installed on a consumer device such as a smartphone, which transforms the device into an independent positioning device. The localization system will only be dependent on the signals transmitted and received by the user devices themselves - thus our proposed system will be redundant of any external infrastructure.
Avalanche positioning is just the first step of the proposed system; COREPOS aims to develop software libraries that can be used to locate peers. These software libraries will be licensed to interested parties, and are thus to be embedded in a multitude of application verticals.
This is an application area with big commercial as well as societal benefits. The unique principle in COREPOS is that the peers are, in addition to supplying data, also instructed on how to move in order to maximize localization performance
Summary
More than 150 people die due to avalanche accidents every year; this figure could be drastically reduced were the victims to be swiftly localized: the survival rate is 90% if rescued within 15 minutes, but decreases to 25% after 45 minutes, due to asphyxiation.
Various specialized localization devices exist, but are typically difficult for the average user to operate, and the penetration among skiers is low. At the same time, the introduction of so-called smartphones is revolutionizing the use of mobile services and applications. Connecting clusters of smartphone which are in close proximity to each other offers the opportunity to solve localization problems which previously would not have been possible. These facts together motivate the initial focus of COREPOS: an app that can be installed on a consumer device such as a smartphone, which transforms the device into an independent positioning device. The localization system will only be dependent on the signals transmitted and received by the user devices themselves - thus our proposed system will be redundant of any external infrastructure.
Avalanche positioning is just the first step of the proposed system; COREPOS aims to develop software libraries that can be used to locate peers. These software libraries will be licensed to interested parties, and are thus to be embedded in a multitude of application verticals.
This is an application area with big commercial as well as societal benefits. The unique principle in COREPOS is that the peers are, in addition to supplying data, also instructed on how to move in order to maximize localization performance
Max ERC Funding
150 000 €
Duration
Start date: 2014-05-01, End date: 2015-04-30
Project acronym DD-PD
Project A novel mechanism to regulate gene expression in the brain
Researcher (PI) Deniz KIRIK
Host Institution (HI) LUNDS UNIVERSITET
Call Details Proof of Concept (PoC), PC1, ERC-2012-PoC
Summary "Development of advanced therapeutics based on non-small molecule drugs for brain diseases is an area of intense research. Experimental work using viral vector-mediated in vivo gene therapy showed great potential as a competitive therapeutic strategy for clinical use in neurodegenerative diseases. AAV vectors are now in early clinical trials stage for treatment of Parkinson’s disease. Although it is deemed very important to have controlled expression in the brain, none of the currently tested strategies have implemented an approach that can be exogenously controlled. Regulation of the therapeutic intervention is important not only for safety reasons but has important implications for tuning the delivery of the therapeutic molecule to the individual needs of the patients, i.e., personalizing their treatment. The core of this proof-of-concept application is to develop a novel gene regulation system as a product for clinical use in patients with Parkinson’s disease. The applicant has assembled a strong team of experts that can take this exciting idea that has spun out of his ERC-funded research to an early business strategy and bridge to commercialization. The work will include filing of new IP, a proactive use of novelty search, formation of a dedicated start-up company for handling the new IPR as well as in-licensing of related IP, and sketching a path towards commercialization via obtaining regulatory authorization, investigation of strategies for large-scale production of the product."
Summary
"Development of advanced therapeutics based on non-small molecule drugs for brain diseases is an area of intense research. Experimental work using viral vector-mediated in vivo gene therapy showed great potential as a competitive therapeutic strategy for clinical use in neurodegenerative diseases. AAV vectors are now in early clinical trials stage for treatment of Parkinson’s disease. Although it is deemed very important to have controlled expression in the brain, none of the currently tested strategies have implemented an approach that can be exogenously controlled. Regulation of the therapeutic intervention is important not only for safety reasons but has important implications for tuning the delivery of the therapeutic molecule to the individual needs of the patients, i.e., personalizing their treatment. The core of this proof-of-concept application is to develop a novel gene regulation system as a product for clinical use in patients with Parkinson’s disease. The applicant has assembled a strong team of experts that can take this exciting idea that has spun out of his ERC-funded research to an early business strategy and bridge to commercialization. The work will include filing of new IP, a proactive use of novelty search, formation of a dedicated start-up company for handling the new IPR as well as in-licensing of related IP, and sketching a path towards commercialization via obtaining regulatory authorization, investigation of strategies for large-scale production of the product."
Max ERC Funding
150 000 €
Duration
Start date: 2012-11-01, End date: 2013-10-31
Project acronym DEGLUMINATE
Project Light-Responsive Adhesives for Debond-on-Demand Solutions
Researcher (PI) Christoph Weder
Host Institution (HI) UNIVERSITE DE FRIBOURG
Call Details Proof of Concept (PoC), PC1, ERC-2015-PoC
Summary Adhesives that debond-on-demand through application of an external stimulus are highly relevant for manufacturing (semiconductor, automotive, aerospace, construction, packaging, sportswear), healthcare applications (wound dressing, transdermal patches), and numerous other domains, and they can significantly contribute to the sustainable use of materials (repairing, reworking, recycling). In all cases, there is a technological need for effective and environmentally benign solutions that provide secure adhesion during use, while also permitting for a simple and clean separation of bonded parts “on command” without the need for additional complex process steps.
The proposed project aims to develop new debond-on-demand adhesives based on the combination of low-molecular weight functional polymers and light-responsive degradable cross-linking agents. The new materials are expected to combine optimal adhesive properties for a wide range of substrates with a new mechanism that enables straightforward and efficient, ultraviolet light-induced debonding at ambient temperature. The debonding mechanism involves two different effects that are combined in a synergistic manner: the controlled degradation of the cross-linker transforms polymer networks into low-molecular weight polymers, and the simultaneous release of nitrogen gas “propels” the bonded parts away from each other. The degraded polymer residues can be easily removed and clean debonded components are furnished. The overarching goals of the proposed project are to bridge the gap between scientific discovery and implementation by (i) providing a better understanding for the mechanism at play; (ii) demonstrating the effect in a variety of adhesive platforms based on polymers that are employed in current adhesive technologies; and (iii) providing technology demonstrators for pressure-sensitive adhesive tapes and cold-cured two-component adhesives with debond-on-demand properties.
Summary
Adhesives that debond-on-demand through application of an external stimulus are highly relevant for manufacturing (semiconductor, automotive, aerospace, construction, packaging, sportswear), healthcare applications (wound dressing, transdermal patches), and numerous other domains, and they can significantly contribute to the sustainable use of materials (repairing, reworking, recycling). In all cases, there is a technological need for effective and environmentally benign solutions that provide secure adhesion during use, while also permitting for a simple and clean separation of bonded parts “on command” without the need for additional complex process steps.
The proposed project aims to develop new debond-on-demand adhesives based on the combination of low-molecular weight functional polymers and light-responsive degradable cross-linking agents. The new materials are expected to combine optimal adhesive properties for a wide range of substrates with a new mechanism that enables straightforward and efficient, ultraviolet light-induced debonding at ambient temperature. The debonding mechanism involves two different effects that are combined in a synergistic manner: the controlled degradation of the cross-linker transforms polymer networks into low-molecular weight polymers, and the simultaneous release of nitrogen gas “propels” the bonded parts away from each other. The degraded polymer residues can be easily removed and clean debonded components are furnished. The overarching goals of the proposed project are to bridge the gap between scientific discovery and implementation by (i) providing a better understanding for the mechanism at play; (ii) demonstrating the effect in a variety of adhesive platforms based on polymers that are employed in current adhesive technologies; and (iii) providing technology demonstrators for pressure-sensitive adhesive tapes and cold-cured two-component adhesives with debond-on-demand properties.
Max ERC Funding
149 250 €
Duration
Start date: 2016-06-01, End date: 2017-05-31
Project acronym DIBAROR
Project Bile acids targeting Retinoic Related Orphan Receptor gamma for the Treatment of Obesity associated Insulin Resistance and Type 2 Diabetes
Researcher (PI) Christian WOLFRUM
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Proof of Concept (PoC), PC1, ERC-2011-PoC
Summary "Within the past three years as part of the ERC funding, we have performed extensive research to identify novel factors that might influence adipogenesis and thus control development of obesity and associated metabolic disorders. One of the factors we identified in a translational approach, was the transcription factor retinoic acid orphan receptor gamma (RORγ) which regulates fat cell formation in mice and humans. RORγ is considered as an orphan nuclear receptor as only weak natural ligands that antagonize receptor function have been identified so far. We were able to identify a high affinity natural occurring ligand (Ba1) which is a bile acid isoform and which potently represses the activity of RORγ. Genetic ablation of RORγ expression can rescue obesity associated development of type 2 diabetes, similarly in mice Ba1 supplementation of the diet, prevents the development of diet induced type 2 diabetes. Thus, Ba1 is a ligand for RORγ that has the potential to serve as a therapeutic agent for the treatment of obesity associated insulin resistance and type 2 diabetes.
With this application we would add value to the current state of the project in different aspects. We plan to perform a toxicological assessment of Ba1 which will show if it can enter further development without problems. In parallel a set of well-defined Ba1 analogs will be synthesized with the aim to widen our IP position. Furthermore, we plan a detailed evaluation of the in vitro and in vivo efficacy of the newly synthesized Ba1 analogues. We anticipate that it will be possible to implement this naturally occurring bile acid in the context of two separate therapies. Ba1 can be envisioned to be employed as a nutraceutical in common foods. Also, Ba1 could find a niche in the ever-expanding over-the-counter market. Ba1 or modified derivatives may also be useful as stand-alone medication, to treat metabolic co-morbidities such as type 2 diabetes associated with obesity."
Summary
"Within the past three years as part of the ERC funding, we have performed extensive research to identify novel factors that might influence adipogenesis and thus control development of obesity and associated metabolic disorders. One of the factors we identified in a translational approach, was the transcription factor retinoic acid orphan receptor gamma (RORγ) which regulates fat cell formation in mice and humans. RORγ is considered as an orphan nuclear receptor as only weak natural ligands that antagonize receptor function have been identified so far. We were able to identify a high affinity natural occurring ligand (Ba1) which is a bile acid isoform and which potently represses the activity of RORγ. Genetic ablation of RORγ expression can rescue obesity associated development of type 2 diabetes, similarly in mice Ba1 supplementation of the diet, prevents the development of diet induced type 2 diabetes. Thus, Ba1 is a ligand for RORγ that has the potential to serve as a therapeutic agent for the treatment of obesity associated insulin resistance and type 2 diabetes.
With this application we would add value to the current state of the project in different aspects. We plan to perform a toxicological assessment of Ba1 which will show if it can enter further development without problems. In parallel a set of well-defined Ba1 analogs will be synthesized with the aim to widen our IP position. Furthermore, we plan a detailed evaluation of the in vitro and in vivo efficacy of the newly synthesized Ba1 analogues. We anticipate that it will be possible to implement this naturally occurring bile acid in the context of two separate therapies. Ba1 can be envisioned to be employed as a nutraceutical in common foods. Also, Ba1 could find a niche in the ever-expanding over-the-counter market. Ba1 or modified derivatives may also be useful as stand-alone medication, to treat metabolic co-morbidities such as type 2 diabetes associated with obesity."
Max ERC Funding
145 697 €
Duration
Start date: 2012-04-01, End date: 2013-03-31
Project acronym DigiRead
Project Digital readout of protein detection via super rolling circle amplification of DNA tags
Researcher (PI) Dag Ake Ulf Landegren
Host Institution (HI) UPPSALA UNIVERSITET
Call Details Proof of Concept (PoC), ERC-2015-PoC, ERC-2015-PoC
Summary This project will serve to evaluate market opportunities of a newly invented technology for digital detection of reporter DNA
strands in protein analysis.
The purpose of my ongoing ERC project ProteinSeq is to develop technology and reagents for parallel, sensitive and
specific targeted protein analyses in plasma samples, lysates, etc. An important limiting factor for the broader adoption of
our technology is the cost and throughput of next generation sequencing and realtime PCR to read out the identities and
levels of reporter DNA strands that reflect the amounts of proteins in a sample.
In the course of the ERC project we have invented and patented a technique to greatly enhance each of the reporter
strands to prominent DNA objects that can be easily detected, identified and counted by fluorescence microscopy with
automated image analysis or through flow cytometry. We refer to this highly specific technique as super rolling circle
amplification or sRCA, and it involves two generations of RCA and combinatorial fluorescence detection of the large
products, each composed of hundreds of thousand repeats of specific tag DNA sequences.
In the proposed PoC project we will position our new technology against other readout techniques such as next gen
sequencing, realtime PCR and microarrays by identifying Needs, Approach, Benefits, Competition for sRCA. Potential end
users will be contacted to establish customer requirements, and we will evaluate freedom to operate and the extent of
monopoly for our invention. We will also specifically investigate means to distinguish many sRCA products by combinatorial
labeling schemes.
Summary
This project will serve to evaluate market opportunities of a newly invented technology for digital detection of reporter DNA
strands in protein analysis.
The purpose of my ongoing ERC project ProteinSeq is to develop technology and reagents for parallel, sensitive and
specific targeted protein analyses in plasma samples, lysates, etc. An important limiting factor for the broader adoption of
our technology is the cost and throughput of next generation sequencing and realtime PCR to read out the identities and
levels of reporter DNA strands that reflect the amounts of proteins in a sample.
In the course of the ERC project we have invented and patented a technique to greatly enhance each of the reporter
strands to prominent DNA objects that can be easily detected, identified and counted by fluorescence microscopy with
automated image analysis or through flow cytometry. We refer to this highly specific technique as super rolling circle
amplification or sRCA, and it involves two generations of RCA and combinatorial fluorescence detection of the large
products, each composed of hundreds of thousand repeats of specific tag DNA sequences.
In the proposed PoC project we will position our new technology against other readout techniques such as next gen
sequencing, realtime PCR and microarrays by identifying Needs, Approach, Benefits, Competition for sRCA. Potential end
users will be contacted to establish customer requirements, and we will evaluate freedom to operate and the extent of
monopoly for our invention. We will also specifically investigate means to distinguish many sRCA products by combinatorial
labeling schemes.
Max ERC Funding
149 375 €
Duration
Start date: 2015-10-01, End date: 2017-03-31
Project acronym Domognostics
Project Intelligent Building Automation Diagnostics
Researcher (PI) Marios POLYCARPOU
Host Institution (HI) UNIVERSITY OF CYPRUS
Call Details Proof of Concept (PoC), PC1, ERC-2016-PoC
Summary The emergence of networked cyber-physical systems, in which sensor/actuator networks are integrated with software algorithms, facilitates the development of advanced Building Management Systems (BMS) aimed at enhancing energy efficiency in buildings, which accounts for 40% of the energy consumption in the EU. When a fault arises in some of the components, or an unexpected event occurs in the building, this may lead to a serious degradation in performance or, even worse, to situations that would endanger people’s lives. Studies estimate that 20% of the energy consumed in commercial buildings for heating, ventilation, air conditioning, lighting and water heating can be attributed to various faults. Therefore, there is a market need for an intelligent building automation diagnostic system which integrates with existing BMS to facilitate continuous and effective monitoring of the buildings.
The objective of the proposed proof of concept is to develop the Domognostics platform, a novel solution for monitoring building automation systems, detecting and diagnosing any component faults and/or unexpected events, and providing remedial reconfiguration actions, aiming at improving operational efficiency. Domognostics will interoperate with existing BMS to extend their capabilities, and will integrate directly with heterogeneous sensor types, such as IoT devices, mobile sensors, wearables, etc., to increase redundancy of the available information and measurements. The Domognostics platform will utilise intelligent fault diagnosis algorithms with machine learning capabilities to boost its capacity to learn from experience, and semantically enhanced reasoning to facilitate the flexibility of adding new sensors or replacing faulty components, as needed. The theoretical foundations of these techniques were developed as part of the ERC Advanced Grant project Fault-Adaptive, which started in April 2012, and is currently being carried out at the University of Cyprus.
Summary
The emergence of networked cyber-physical systems, in which sensor/actuator networks are integrated with software algorithms, facilitates the development of advanced Building Management Systems (BMS) aimed at enhancing energy efficiency in buildings, which accounts for 40% of the energy consumption in the EU. When a fault arises in some of the components, or an unexpected event occurs in the building, this may lead to a serious degradation in performance or, even worse, to situations that would endanger people’s lives. Studies estimate that 20% of the energy consumed in commercial buildings for heating, ventilation, air conditioning, lighting and water heating can be attributed to various faults. Therefore, there is a market need for an intelligent building automation diagnostic system which integrates with existing BMS to facilitate continuous and effective monitoring of the buildings.
The objective of the proposed proof of concept is to develop the Domognostics platform, a novel solution for monitoring building automation systems, detecting and diagnosing any component faults and/or unexpected events, and providing remedial reconfiguration actions, aiming at improving operational efficiency. Domognostics will interoperate with existing BMS to extend their capabilities, and will integrate directly with heterogeneous sensor types, such as IoT devices, mobile sensors, wearables, etc., to increase redundancy of the available information and measurements. The Domognostics platform will utilise intelligent fault diagnosis algorithms with machine learning capabilities to boost its capacity to learn from experience, and semantically enhanced reasoning to facilitate the flexibility of adding new sensors or replacing faulty components, as needed. The theoretical foundations of these techniques were developed as part of the ERC Advanced Grant project Fault-Adaptive, which started in April 2012, and is currently being carried out at the University of Cyprus.
Max ERC Funding
150 000 €
Duration
Start date: 2017-05-01, End date: 2018-10-31
Project acronym Drug the bug
Project Identification of novel inhibitors to prevent microbial production of pro-diabetic metabolites
Researcher (PI) Fredrik Bäckhed
Host Institution (HI) GOETEBORGS UNIVERSITET
Call Details Proof of Concept (PoC), ERC-2017-PoC
Summary The gut microbiota has been associated with metabolic diseases, such as type 2 diabetes. In my ERC consolidator award we demonstrated that the gut microbiota is altered following bariatric surgery and that the altered microbiota may be directly linked to some of the metabolic improvements observed following surgery. Interestingly, improved metabolism was associated with altered metabolite production capacity from the microbiota and we observed that a metabolite, imidazole propionate, was reduced after surgery. In associated projects we have demonstrated that imidazole propionate is associated with type 2 diabetes in humans and induce insulin resistance in primary hepatocytes and when injected into mice. Imidazole propionate is synthesized by the microbial enzyme UrdA from histidine. This POC will explore the potential of identifying inhibitors of UrdA to reduce production of imidazole propionate and thereby improve insulin sensitivity. If successful we envision a new class of diabetes medication based on the concept of drug the bug.
Summary
The gut microbiota has been associated with metabolic diseases, such as type 2 diabetes. In my ERC consolidator award we demonstrated that the gut microbiota is altered following bariatric surgery and that the altered microbiota may be directly linked to some of the metabolic improvements observed following surgery. Interestingly, improved metabolism was associated with altered metabolite production capacity from the microbiota and we observed that a metabolite, imidazole propionate, was reduced after surgery. In associated projects we have demonstrated that imidazole propionate is associated with type 2 diabetes in humans and induce insulin resistance in primary hepatocytes and when injected into mice. Imidazole propionate is synthesized by the microbial enzyme UrdA from histidine. This POC will explore the potential of identifying inhibitors of UrdA to reduce production of imidazole propionate and thereby improve insulin sensitivity. If successful we envision a new class of diabetes medication based on the concept of drug the bug.
Max ERC Funding
149 701 €
Duration
Start date: 2017-12-01, End date: 2019-05-31
Project acronym DUVlight
Project Development of a compact, user-friendly and cost effective source for the generation of powerful and broad ultrashort pulses in the deep-UV
Researcher (PI) Andrea CANNIZZO
Host Institution (HI) UNIVERSITAET BERN
Call Details Proof of Concept (PoC), ERC-2017-PoC
Summary Here we present an original design of a compact and portable set-up able to generate very broadband (70-100 nm at 300 nm) and powerful (>1uJ/pulse) ultrashort deep-UV pulses. Compared with other schemes, it guarantees an aberration-free propagation, an easy installation and minimal dispersion. The present project aims to bring the current prototype to the level of a commercial device. The conceived design will allow to manufacture a compact, portable and cost effective device, which will be user-friendly and with almost no required maintenance.
There is no such a source commercially available and the schemes proposed in scientific literature require an advanced level of competence in optics and laser physics, are not cost effective and unsuitable for industrial applications.
There is thus a need of sources for ultrafast broadband radiation in the deep-UV to advance and enable new ultrafast science and extend into this spectral range the technological application of ultrafast laser sources. The implementation of the proposed device will definitively fill this gap.
Summary
Here we present an original design of a compact and portable set-up able to generate very broadband (70-100 nm at 300 nm) and powerful (>1uJ/pulse) ultrashort deep-UV pulses. Compared with other schemes, it guarantees an aberration-free propagation, an easy installation and minimal dispersion. The present project aims to bring the current prototype to the level of a commercial device. The conceived design will allow to manufacture a compact, portable and cost effective device, which will be user-friendly and with almost no required maintenance.
There is no such a source commercially available and the schemes proposed in scientific literature require an advanced level of competence in optics and laser physics, are not cost effective and unsuitable for industrial applications.
There is thus a need of sources for ultrafast broadband radiation in the deep-UV to advance and enable new ultrafast science and extend into this spectral range the technological application of ultrafast laser sources. The implementation of the proposed device will definitively fill this gap.
Max ERC Funding
140 625 €
Duration
Start date: 2018-01-01, End date: 2019-06-30
Project acronym E-DURA
Project Commercialization of novel soft neural interfaces
Researcher (PI) Stéphanie LACOUR
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Proof of Concept (PoC), ERC-2017-PoC
Summary E-DURA aims to assess the commercial viability of a new class of soft, multimodal neural implants called e-dura. Current technologies are rigid and present physical, electrochemical and biological mismatches that prevent prolonged periods of implantation. Our technology represents a significant improvement over state-of-art on all those criteria. Moreover, our extensive network of academics and industry professionals represents an advantage in commercializing e-dura, thereby addressing a market estimated to reach 11.8 billion Euro by 2020. Within E-DURA, we will prototype a device suitable for human implantation and build the business case around our innovation.
Summary
E-DURA aims to assess the commercial viability of a new class of soft, multimodal neural implants called e-dura. Current technologies are rigid and present physical, electrochemical and biological mismatches that prevent prolonged periods of implantation. Our technology represents a significant improvement over state-of-art on all those criteria. Moreover, our extensive network of academics and industry professionals represents an advantage in commercializing e-dura, thereby addressing a market estimated to reach 11.8 billion Euro by 2020. Within E-DURA, we will prototype a device suitable for human implantation and build the business case around our innovation.
Max ERC Funding
149 994 €
Duration
Start date: 2018-09-01, End date: 2020-02-29
Project acronym ELECTROCAT
Project Novel water splitting catalysts for efficient alkaline electrolyzers
Researcher (PI) Xile HU
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Proof of Concept (PoC), PC1, ERC-2016-PoC
Summary Renewable energies such as solar and wind are intermittent and require efficient storage methods. One of the most promising methods for renewable energy storage is water splitting, which converts these energies into hydrogen fuel. Solar or wind-driven water splitting can be done using electrolyzers, and alkaline electrolyzers are potentially scalable because they do not use precious metal catalysts. However, current alkaline electrolyzers employ catalysts that have low efficiencies and are prone to corrosion. This project aims to apply several novel classes of water splitting catalysts developed in our ERC Starting Grant project in alkaline electrolyzers. The catalysts are inexpensive and have higher energy efficiencies than those employed in commercial alkaline electrolyzers. They are potentially more stable as well. The goal of the project is to provide technology demonstrators for the use of these catalysts in alkaline electrolyzers, which is expected to result in higher efficiencies and stability at a similar cost.
Summary
Renewable energies such as solar and wind are intermittent and require efficient storage methods. One of the most promising methods for renewable energy storage is water splitting, which converts these energies into hydrogen fuel. Solar or wind-driven water splitting can be done using electrolyzers, and alkaline electrolyzers are potentially scalable because they do not use precious metal catalysts. However, current alkaline electrolyzers employ catalysts that have low efficiencies and are prone to corrosion. This project aims to apply several novel classes of water splitting catalysts developed in our ERC Starting Grant project in alkaline electrolyzers. The catalysts are inexpensive and have higher energy efficiencies than those employed in commercial alkaline electrolyzers. They are potentially more stable as well. The goal of the project is to provide technology demonstrators for the use of these catalysts in alkaline electrolyzers, which is expected to result in higher efficiencies and stability at a similar cost.
Max ERC Funding
149 959 €
Duration
Start date: 2017-05-01, End date: 2018-10-31
Project acronym ENUF
Project Evaluation of Novel Ultra-Fast selective III-V Epitaxy
Researcher (PI) Kirsten MOSELUND
Host Institution (HI) IBM RESEARCH GMBH
Call Details Proof of Concept (PoC), ERC-2018-PoC
Summary As the worldwide photonics market is increasing and optical and electronic devices based on III-V semiconductors are gaining market segment, the production of III-V semiconductor wafers including GaN has increased in volume and sizes have increased from 2” to 6”. However, this is still short of the 8”-12” common in Silicon CMOS technology. Furthermore, the integration of III-Vs on silicon or on-insulator, has been a long-standing goal for the past 50 years, in order to combine electronic and photonic applications, and to allow photonic technologies to take advantage of the highly developed silicon CMOS technology, thereby opening up for vast new application opportunities. The aim of ENUF is for the first time to attempt to combine two different growth methods to achieve a low-cost integration of large-area III-V on insulator on a silicon platform, and to establish this as a replacement technology for existing III-V wafer production or to enable low-cost integration of optically active material as enabling technology for silicon photonic applications. The method can also be adapted to GaN on Si or on insulator for low-cost high-volume production of high power electronics and light emitting devices.
Summary
As the worldwide photonics market is increasing and optical and electronic devices based on III-V semiconductors are gaining market segment, the production of III-V semiconductor wafers including GaN has increased in volume and sizes have increased from 2” to 6”. However, this is still short of the 8”-12” common in Silicon CMOS technology. Furthermore, the integration of III-Vs on silicon or on-insulator, has been a long-standing goal for the past 50 years, in order to combine electronic and photonic applications, and to allow photonic technologies to take advantage of the highly developed silicon CMOS technology, thereby opening up for vast new application opportunities. The aim of ENUF is for the first time to attempt to combine two different growth methods to achieve a low-cost integration of large-area III-V on insulator on a silicon platform, and to establish this as a replacement technology for existing III-V wafer production or to enable low-cost integration of optically active material as enabling technology for silicon photonic applications. The method can also be adapted to GaN on Si or on insulator for low-cost high-volume production of high power electronics and light emitting devices.
Max ERC Funding
150 000 €
Duration
Start date: 2019-01-01, End date: 2020-06-30
Project acronym FastProof
Project Fast Proof Reading and Correction of Complex Delineations
Researcher (PI) Pascal Vitali FUA
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Proof of Concept (PoC), ERC-2016-PoC, ERC-2016-PoC
Summary This project aims at turning the novel approach to automated delineation of complex curvilinear structures we have developed under ERC funding into industrial-grade software that can be commercialized. Our primary goal will therefore be to transform our research software into user-friendly plugins with well-defined APIs that can be bundled with widely used commercial software platforms.
In the neuroscience and biomedical areas, we have identified three such platforms and will explore potential licensing agreements with the companies selling them. In the field of aerial cartography, we have close links to an EPFL spin-off company that could help us break into this very different market.
We will also investigate the feasibility of launching a new startup company to carry out any further development that might be required. To this end, we will conduct a market study to assess the size of the market and develop a business plan.
Summary
This project aims at turning the novel approach to automated delineation of complex curvilinear structures we have developed under ERC funding into industrial-grade software that can be commercialized. Our primary goal will therefore be to transform our research software into user-friendly plugins with well-defined APIs that can be bundled with widely used commercial software platforms.
In the neuroscience and biomedical areas, we have identified three such platforms and will explore potential licensing agreements with the companies selling them. In the field of aerial cartography, we have close links to an EPFL spin-off company that could help us break into this very different market.
We will also investigate the feasibility of launching a new startup company to carry out any further development that might be required. To this end, we will conduct a market study to assess the size of the market and develop a business plan.
Max ERC Funding
149 648 €
Duration
Start date: 2018-01-01, End date: 2019-06-30
Project acronym FastScan
Project Fast, Targetted, High-Throughput Scanning Electron Microscopy
Researcher (PI) Pascal FUA
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Proof of Concept (PoC), PC1, ERC-2012-PoC
Summary This project aims at producing industrial-grade software from newly developed algorithms to greatly increase the throughput of scanning electron microscopes and, thus, to transform the way they are used to image 3D samples. To this end, we will integrate into the standard scanning software automated image-based recognition techniques to focus imaging resources on regions of interest while ignoring others. We expect this to speed up the acquisition by a factor 10 and to increase the volume sizes that can be imaged. Given the scientific and industrial importance of Electron Microscopy, we believe there is a substantial market for such improvements and we plan to demonstrate it.
Preliminary experiments have shown that the approach we propose can indeed reduce imaging time by a factor 10 at almost no information loss. The goal of this project will be to turn the insights we have gained, and are now patenting, into a software plug-in that can be sold along with Zeiss microscopes and their attendant software. Our target customers will initially be neuro-scientists both in academia and industry. However, the techniques we propose will also be of use in other fields where Electron Microscopy plays a critical role, such as Material Sciences and Electronic Circuit Design.
Summary
This project aims at producing industrial-grade software from newly developed algorithms to greatly increase the throughput of scanning electron microscopes and, thus, to transform the way they are used to image 3D samples. To this end, we will integrate into the standard scanning software automated image-based recognition techniques to focus imaging resources on regions of interest while ignoring others. We expect this to speed up the acquisition by a factor 10 and to increase the volume sizes that can be imaged. Given the scientific and industrial importance of Electron Microscopy, we believe there is a substantial market for such improvements and we plan to demonstrate it.
Preliminary experiments have shown that the approach we propose can indeed reduce imaging time by a factor 10 at almost no information loss. The goal of this project will be to turn the insights we have gained, and are now patenting, into a software plug-in that can be sold along with Zeiss microscopes and their attendant software. Our target customers will initially be neuro-scientists both in academia and industry. However, the techniques we propose will also be of use in other fields where Electron Microscopy plays a critical role, such as Material Sciences and Electronic Circuit Design.
Max ERC Funding
149 100 €
Duration
Start date: 2013-08-01, End date: 2014-07-31
Project acronym Flowerfields
Project Early-stage tumour markers based on the Flower proteins
Researcher (PI) Eduardo MORENO
Host Institution (HI) UNIVERSITAET BERN
Call Details Proof of Concept (PoC), PC1, ERC-2012-PoC
Summary It is unquestioned that early detection of cancer is a major factor contributing to therapy outcome. Unfortunately, only
few tumour markers have been identified for early stage cancers to date, and the reliable detection of tumours before the manifestation of morphological changes still remains an unresolved problem in routine clinical diagnosis. A recent study came to the conclusion that shedding rates of currently available cancer biomarkers are a factor of 10-4 below the necessary sensitivity to reliably detect cancers during their first decade. In other studies, the reliability of currently existing biomarkers such as the PSA-marker for prostate cancer is questioned. The development of alternative early-stage tumour markers, in particular also for epithelial cancers, is therefore urgently necessary.
FLOWERFIELDS is aimed to provide means and methods to detect such cancer cells before an aggressive tumour is
formed. To that end, we plan to exploit the extracellular molecular code called “The Flower Code” (Fwe) that is expressed in very early stage cancer or precancerous cells. Fwe may be integrated into routine immuno- or PCR-assays for the detection of a variety of epithelial cancers. Applications may include early-stage diagnosis but also the evaluation of therapy outcome.
The current project has two aims: (i) to develop improved ligands for ELISA diagnostic tests for Flower gene expression, (ii) to validate the concept clinically on human samples in both immuno- and PCR-based assays. The clinical validation of a biomarker candidate is a key success factor for being able to feed it into development stage of a commercial partner.
Summary
It is unquestioned that early detection of cancer is a major factor contributing to therapy outcome. Unfortunately, only
few tumour markers have been identified for early stage cancers to date, and the reliable detection of tumours before the manifestation of morphological changes still remains an unresolved problem in routine clinical diagnosis. A recent study came to the conclusion that shedding rates of currently available cancer biomarkers are a factor of 10-4 below the necessary sensitivity to reliably detect cancers during their first decade. In other studies, the reliability of currently existing biomarkers such as the PSA-marker for prostate cancer is questioned. The development of alternative early-stage tumour markers, in particular also for epithelial cancers, is therefore urgently necessary.
FLOWERFIELDS is aimed to provide means and methods to detect such cancer cells before an aggressive tumour is
formed. To that end, we plan to exploit the extracellular molecular code called “The Flower Code” (Fwe) that is expressed in very early stage cancer or precancerous cells. Fwe may be integrated into routine immuno- or PCR-assays for the detection of a variety of epithelial cancers. Applications may include early-stage diagnosis but also the evaluation of therapy outcome.
The current project has two aims: (i) to develop improved ligands for ELISA diagnostic tests for Flower gene expression, (ii) to validate the concept clinically on human samples in both immuno- and PCR-based assays. The clinical validation of a biomarker candidate is a key success factor for being able to feed it into development stage of a commercial partner.
Max ERC Funding
138 030 €
Duration
Start date: 2013-02-01, End date: 2014-01-31
Project acronym FlowShield
Project Securing Web Applications by Information Flow Tracking
Researcher (PI) Andrei SABELFELD
Host Institution (HI) CHALMERS TEKNISKA HOEGSKOLA AB
Call Details Proof of Concept (PoC), ERC-2018-PoC
Summary In today’s technology-centric world, web applications are a key
enabler for many day-to-day activities ranging from online banking to
in-vehicle infotainment. These applications have access to a wealth of
sensitive information. Unauthorized disclosure and corruption of this
information may result in financial damage, privacy violations, and
loss of human lives.
At the heart of modern web applications lies the *JavaScript*
language. When a user visits a web page, JavaScript code from
different sources is downloaded into the user’s browser and run *with
the same privileges* as if the code came from the web page
itself. This implies that to attack a web page, it is sufficient to
compromise a third-party code component.
Drawing on the technology of *information flow tracking* developed by
the PI’s ERC project, FlowShield will provide *an innovative platform
for security testing and secure integration* of JavaScript code from
different providers. This will enable ICT companies to benefit from
the tremendous business opportunities created by third-party services,
while providing secure products to their customers.
With banking and automotive industries as prime targets, FlowShield
will confirm the potential of our security solution by investigating
market trends, competitors, Intellectual Property Rights (IPR) and
business models, while seeking strategic alliances with industrial and
innovation actors. The goal is to identify concrete market
applications and business models for securing web applications by
utilizing the information flow tracking technology. FlowShield will
allow ICT companies to benefit from the tremendous business
opportunities created by third-party services, while providing secure
products to their customers.
Summary
In today’s technology-centric world, web applications are a key
enabler for many day-to-day activities ranging from online banking to
in-vehicle infotainment. These applications have access to a wealth of
sensitive information. Unauthorized disclosure and corruption of this
information may result in financial damage, privacy violations, and
loss of human lives.
At the heart of modern web applications lies the *JavaScript*
language. When a user visits a web page, JavaScript code from
different sources is downloaded into the user’s browser and run *with
the same privileges* as if the code came from the web page
itself. This implies that to attack a web page, it is sufficient to
compromise a third-party code component.
Drawing on the technology of *information flow tracking* developed by
the PI’s ERC project, FlowShield will provide *an innovative platform
for security testing and secure integration* of JavaScript code from
different providers. This will enable ICT companies to benefit from
the tremendous business opportunities created by third-party services,
while providing secure products to their customers.
With banking and automotive industries as prime targets, FlowShield
will confirm the potential of our security solution by investigating
market trends, competitors, Intellectual Property Rights (IPR) and
business models, while seeking strategic alliances with industrial and
innovation actors. The goal is to identify concrete market
applications and business models for securing web applications by
utilizing the information flow tracking technology. FlowShield will
allow ICT companies to benefit from the tremendous business
opportunities created by third-party services, while providing secure
products to their customers.
Max ERC Funding
150 000 €
Duration
Start date: 2018-11-01, End date: 2020-04-30
Project acronym FRAME
Project Frequency Recognition Algorithm for Multiple Exposures
Researcher (PI) Edouard Jean Jacques BERROCAL
Host Institution (HI) LUNDS UNIVERSITET
Call Details Proof of Concept (PoC), PC1, ERC-2015-PoC
Summary "This proof of concept (PoC) project seeks to explore the possibility of commercializing an optical imaging instrument with the unique ability of permitting a single detector to acquire and store several images simultaneously. This new concept, which is named Frequency Recognition Algorithm for Multiple Exposures (FRAME), employs an ""image-coding"" strategy, where different exposures are given a unique structural “code”. Thanks to this novel coding approach, the camera sensor may be exposed to light several times before readout is necessary – a completely new feature within the field of optical imaging.
The ability for a single detector to acquire a number of images simultaneously opens up for a variety of new measurement schemes such as:
1) Ultra-high-speed videography
2) Instantaneous three-dimensional imaging
3) Simultaneous multispectral imaging.
The main goal of the ERC Starting Grant funded project “Spray-Imaging” is to develop and apply new optical imaging approaches for the detailed characterization of atomizing spray systems. The need for both ultra-high-speed and three-dimensional (3D) imaging are then of importance especially for the study highly transient two-phase flow phenomena.
This PoC will focus both on the development of both a prototype instrument and a control software. Our business idea is to produce an optical instrument – an “add-on” device – that will permit the user to incorporate the FRAME imaging concept. This approach will allow users to seamlessly upgrade any given optical arrangement (e.g. for any given illumination source and detector) with the FRAME functionality."
Summary
"This proof of concept (PoC) project seeks to explore the possibility of commercializing an optical imaging instrument with the unique ability of permitting a single detector to acquire and store several images simultaneously. This new concept, which is named Frequency Recognition Algorithm for Multiple Exposures (FRAME), employs an ""image-coding"" strategy, where different exposures are given a unique structural “code”. Thanks to this novel coding approach, the camera sensor may be exposed to light several times before readout is necessary – a completely new feature within the field of optical imaging.
The ability for a single detector to acquire a number of images simultaneously opens up for a variety of new measurement schemes such as:
1) Ultra-high-speed videography
2) Instantaneous three-dimensional imaging
3) Simultaneous multispectral imaging.
The main goal of the ERC Starting Grant funded project “Spray-Imaging” is to develop and apply new optical imaging approaches for the detailed characterization of atomizing spray systems. The need for both ultra-high-speed and three-dimensional (3D) imaging are then of importance especially for the study highly transient two-phase flow phenomena.
This PoC will focus both on the development of both a prototype instrument and a control software. Our business idea is to produce an optical instrument – an “add-on” device – that will permit the user to incorporate the FRAME imaging concept. This approach will allow users to seamlessly upgrade any given optical arrangement (e.g. for any given illumination source and detector) with the FRAME functionality."
Max ERC Funding
150 000 €
Duration
Start date: 2016-06-01, End date: 2017-05-31
Project acronym FREESPACE
Project Free-space optical transmission links with unprecedented receiver sensitivity
Researcher (PI) Peter ANDREKSON
Host Institution (HI) CHALMERS TEKNISKA HOEGSKOLA AB
Call Details Proof of Concept (PoC), ERC-2018-PoC
Summary Free-space optical communication links provide higher capacity and smaller beam divergence than their radio-frequency counterpart, and are increasingly being used for relatively short links often established for temporary purposes (e.g. outdoor sporting and concert events). They are also explored for extremely long reaches (e.g. between satellites, to the moon and beyond). In both cases, the sensitivity is fundamentally limited by the effect of diffraction, which results in the divergence of a free-space beam as it travels from the transmitter to the receiver. As there are practical limits on the size of the aperture permitted at both the transmitter and receiver, the diffraction results in a signal loss that limits the capacity and reach of the link. Our approach, which is to implement a unique noiseless optical amplifier in the receiver, is expected to result in a 40% transmission reach extension, or for a given reach target, reduce the aperture size of the optics (significant cost reduction) and increase the capacity. Our technique will help enable the transition from radio-frequency links to lightwave based links as it add significant performance benefits to the latter approach. We wish to use our new knowledge and expertise from our recent ERC AdG project to demonstrate, verify, and explore the commercial prospects of FSO transmission using phase-sensitive amplifiers in the receiver to improve the sensitivity, thus maximizing the possible link power budget, beyond what is possible with today’s approaches. We will work on market evaluation, technology verification, and commercialization strategy with the support from the Chalmers innovation office on our campus which has expertize on commercialization in the early stage. A goal of this project is to reach an agreement with commercial and/or institutional entities to pursue a field test of the PSA-based FSO technology.
Summary
Free-space optical communication links provide higher capacity and smaller beam divergence than their radio-frequency counterpart, and are increasingly being used for relatively short links often established for temporary purposes (e.g. outdoor sporting and concert events). They are also explored for extremely long reaches (e.g. between satellites, to the moon and beyond). In both cases, the sensitivity is fundamentally limited by the effect of diffraction, which results in the divergence of a free-space beam as it travels from the transmitter to the receiver. As there are practical limits on the size of the aperture permitted at both the transmitter and receiver, the diffraction results in a signal loss that limits the capacity and reach of the link. Our approach, which is to implement a unique noiseless optical amplifier in the receiver, is expected to result in a 40% transmission reach extension, or for a given reach target, reduce the aperture size of the optics (significant cost reduction) and increase the capacity. Our technique will help enable the transition from radio-frequency links to lightwave based links as it add significant performance benefits to the latter approach. We wish to use our new knowledge and expertise from our recent ERC AdG project to demonstrate, verify, and explore the commercial prospects of FSO transmission using phase-sensitive amplifiers in the receiver to improve the sensitivity, thus maximizing the possible link power budget, beyond what is possible with today’s approaches. We will work on market evaluation, technology verification, and commercialization strategy with the support from the Chalmers innovation office on our campus which has expertize on commercialization in the early stage. A goal of this project is to reach an agreement with commercial and/or institutional entities to pursue a field test of the PSA-based FSO technology.
Max ERC Funding
150 000 €
Duration
Start date: 2018-11-01, End date: 2020-04-30
Project acronym GAP60PTP
Project Gap Waveguides for Point-To-Point Wireless Links at 60 GHz and beyond
Researcher (PI) Per-Simon Kildal
Host Institution (HI) CHALMERS TEKNISKA HOEGSKOLA AB
Call Details Proof of Concept (PoC), PC1, ERC-2015-PoC
Summary Our idea is to enable the next generation of mobile network infrastructure for high speed data communication through the
use of a new technology platform called gap waveguides. The demand for mobile data is growing rapidly and operators see
their costs for mobile infrastructure rising. To meet the demand, and at the same time manage costs, the industry is looking
at an increased adoption of smaller, more cost-efficient mobile base stations (small cells) closer to the end-user. These are
expected to be connected wirelessly through high bandwidth point-to-point (PTP) solutions operating at 60 GHz and above.
To be used at scale, these PTP solutions must fit into the city landscape, be cost-efficient, and easy to install. However,
current radio frequency (RF) technology at 60 GHz leads to bulky and expensive products with poor performance as losses
increase dramatically with frequency. Gap waveguides is a newly invented technology platform for constructing microwave
circuits, which has been shown to have inherently low losses.
Our concept is to apply the gap waveguide technology to RF front-ends in PTP solutions. The objective with the proof-of-concept study is to understand the market need for an integrated 60 GHz RF front-end in more detail, and evaluate
potential mass production methods to verify the concept’s commercial viability. The study will be performed in four phases:
(1) A pre-study capturing the current research status and detailing the project plan; (2) A market verification including
market, customer competitive analyses; (3) A mass production method evaluation to identify and evaluate potential
methods for machining and assembly of gap waveguide based components; and (4) A definition of the way forward
summarizing key findings, conclusions, drafting of plans for market entry and production development. A team consisting of
the Principle investigator, a project manager, a business analyst and an external technology expert will perform the study.
Summary
Our idea is to enable the next generation of mobile network infrastructure for high speed data communication through the
use of a new technology platform called gap waveguides. The demand for mobile data is growing rapidly and operators see
their costs for mobile infrastructure rising. To meet the demand, and at the same time manage costs, the industry is looking
at an increased adoption of smaller, more cost-efficient mobile base stations (small cells) closer to the end-user. These are
expected to be connected wirelessly through high bandwidth point-to-point (PTP) solutions operating at 60 GHz and above.
To be used at scale, these PTP solutions must fit into the city landscape, be cost-efficient, and easy to install. However,
current radio frequency (RF) technology at 60 GHz leads to bulky and expensive products with poor performance as losses
increase dramatically with frequency. Gap waveguides is a newly invented technology platform for constructing microwave
circuits, which has been shown to have inherently low losses.
Our concept is to apply the gap waveguide technology to RF front-ends in PTP solutions. The objective with the proof-of-concept study is to understand the market need for an integrated 60 GHz RF front-end in more detail, and evaluate
potential mass production methods to verify the concept’s commercial viability. The study will be performed in four phases:
(1) A pre-study capturing the current research status and detailing the project plan; (2) A market verification including
market, customer competitive analyses; (3) A mass production method evaluation to identify and evaluate potential
methods for machining and assembly of gap waveguide based components; and (4) A definition of the way forward
summarizing key findings, conclusions, drafting of plans for market entry and production development. A team consisting of
the Principle investigator, a project manager, a business analyst and an external technology expert will perform the study.
Max ERC Funding
149 825 €
Duration
Start date: 2016-02-01, End date: 2017-07-31
Project acronym GigaFemto
Project Towards matchbox-size GHz femtosecond lasers for frequency combs generation: ‘a femtosecond laser fabricating a femtosecond laser’
Researcher (PI) Yves BELLOUARD
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Proof of Concept (PoC), ERC-2017-PoC
Summary Femtosecond laser GHz cavity lasers has enabled a new type of optical frequency comb that have defined a new standard and a universal method for precisely measuring optical frequencies measuring. This quantum leap in metrology unravelled numerous technological innovations, from more precise atomic clocks to unprecedented data-transmission flowrate in telecoms. So far, optical frequency-comb systems remain table-top size and expensive, an impediment for further adoptions of this major technological break-through.
Here, we propose a novel concept of monolithic, miniaturized – matchbox size - femtosecond laser GHz cavity, in which all the optical functions are integrated in a same substrate, including active functions requiring active tuning or electro-optics effects. This concept relies on femtosecond laser machining combined with post-processing methods to fabricate this optical cavity and to perform the fine alignment required for proper laser operation. It defines a new paradigm where ‘a femtosecond laser is used to fabricate and tune another femtosecond laser’.
Specifically, GigaFemto aim at 1/ demonstrating the first all-in-glass femtosecond GHz cavity, of matchbox size, fabricated and tuned by another femtosecond lasers and 2/ laying the seeds for a commercial exploitation by a spin-off company of our laboratory. The later will include a market analysis and a thorough precompetitive study.
Summary
Femtosecond laser GHz cavity lasers has enabled a new type of optical frequency comb that have defined a new standard and a universal method for precisely measuring optical frequencies measuring. This quantum leap in metrology unravelled numerous technological innovations, from more precise atomic clocks to unprecedented data-transmission flowrate in telecoms. So far, optical frequency-comb systems remain table-top size and expensive, an impediment for further adoptions of this major technological break-through.
Here, we propose a novel concept of monolithic, miniaturized – matchbox size - femtosecond laser GHz cavity, in which all the optical functions are integrated in a same substrate, including active functions requiring active tuning or electro-optics effects. This concept relies on femtosecond laser machining combined with post-processing methods to fabricate this optical cavity and to perform the fine alignment required for proper laser operation. It defines a new paradigm where ‘a femtosecond laser is used to fabricate and tune another femtosecond laser’.
Specifically, GigaFemto aim at 1/ demonstrating the first all-in-glass femtosecond GHz cavity, of matchbox size, fabricated and tuned by another femtosecond lasers and 2/ laying the seeds for a commercial exploitation by a spin-off company of our laboratory. The later will include a market analysis and a thorough precompetitive study.
Max ERC Funding
150 000 €
Duration
Start date: 2018-03-01, End date: 2019-08-31
Project acronym GlioVac
Project Validation of a conceptually new treatment for glioblastoma multiforme with an IP protected small molecule
Researcher (PI) Johan Patrik Ernfors
Host Institution (HI) KAROLINSKA INSTITUTET
Call Details Proof of Concept (PoC), PC1, ERC-2014-PoC
Summary Glioblastoma multiforme (GBM) is the most aggressive form of brain cancer with marginal life expectancy even with the most aggressive available therapy. We have identified a previously unanticipated vulnerability of GSCs which when targeted, leads to a rapid and complete cell death of all tumor cells isolated from nine different patients diagnosed with GBM. The cellular mechanism has been identified and involves an increased vulnerability of GSCs to massive vacuolization which can be induced by a small molecule, termed Vacquinol-1. The vacuolization results from an induction of massive macropinocytosis leading to cytoplasmic membrane rupture and cell death. Vacquinol-1 reduces viability in vitro with approximately 70 times greater potency than current chemotherapy and efficiently and significantly reverses disease and prolongs survival in animal models of human GBM. Vacquinol-1 is highly selective for glioblastoma cells and is not present in other examined cell types, including astrocytes from the brain. Vacquinol-1 has favorable pharmacokinetics, oral bioavailability and exhibits excellent overall preclinical characteristics. Synthetic chemical expansion of Vacquinol-1 reveals an exquisitely delicate structure activity relationship. IP protection has been filed. In order to be able to validate this discovery into an innovation and possible commercialization we need to: 1) Compare potency and efficacy with competing compounds in development stage. 2) Establish optimized dosage regimen from in vitro and in vivo cytotoxicity and brain exposure measurements. 3) Develop a GMP-compatible stereo-selective synthesis of an appropriate Vacquinol-1 isomer for amending composition of matter to patent and pre-GLP/GLP toxicological and phase I clinical trials. 4) Together with Karolinska Institutet Innovations AB protect the intellectual property, validate commercialization potential and establish a development plan.
Summary
Glioblastoma multiforme (GBM) is the most aggressive form of brain cancer with marginal life expectancy even with the most aggressive available therapy. We have identified a previously unanticipated vulnerability of GSCs which when targeted, leads to a rapid and complete cell death of all tumor cells isolated from nine different patients diagnosed with GBM. The cellular mechanism has been identified and involves an increased vulnerability of GSCs to massive vacuolization which can be induced by a small molecule, termed Vacquinol-1. The vacuolization results from an induction of massive macropinocytosis leading to cytoplasmic membrane rupture and cell death. Vacquinol-1 reduces viability in vitro with approximately 70 times greater potency than current chemotherapy and efficiently and significantly reverses disease and prolongs survival in animal models of human GBM. Vacquinol-1 is highly selective for glioblastoma cells and is not present in other examined cell types, including astrocytes from the brain. Vacquinol-1 has favorable pharmacokinetics, oral bioavailability and exhibits excellent overall preclinical characteristics. Synthetic chemical expansion of Vacquinol-1 reveals an exquisitely delicate structure activity relationship. IP protection has been filed. In order to be able to validate this discovery into an innovation and possible commercialization we need to: 1) Compare potency and efficacy with competing compounds in development stage. 2) Establish optimized dosage regimen from in vitro and in vivo cytotoxicity and brain exposure measurements. 3) Develop a GMP-compatible stereo-selective synthesis of an appropriate Vacquinol-1 isomer for amending composition of matter to patent and pre-GLP/GLP toxicological and phase I clinical trials. 4) Together with Karolinska Institutet Innovations AB protect the intellectual property, validate commercialization potential and establish a development plan.
Max ERC Funding
149 693 €
Duration
Start date: 2015-03-01, End date: 2016-08-31
Project acronym GoodNews
Project Fake news detection in social networks using geometric deep learning
Researcher (PI) Michael BRONSTEIN
Host Institution (HI) UNIVERSITA DELLA SVIZZERA ITALIANA
Call Details Proof of Concept (PoC), ERC-2018-PoC
Summary In the past decade, social media have become one of the main sources of news for people around the world. Yet, it comes with the danger of exposure to intentionally false information. The extensive spread of fake news has recently become a centerpiece of controversy following the highly debated elections of President Donald Trump and the Brexit vote. It is alleged that the outcome of these votes resulted from the public opinion manipulation by a massive injection of fake news, possibly sponsored by hostile foreign governments, constituting perhaps one of the most serious and unprecedented threats to the modern democracies.
The ambition of GoodNews is to build the technological capability for algorithmic fake news detection in social media using a novel paradigm. Instead of following the traditional approach of analyzing the news content, we will analyze the news spreading patterns in social networks. The algorithmic core of GoodNews is based on a novel class of geometric deep learning algorithms developed in the ERC project LEMAN (Learning on Manifolds and Graphs). Our research group was among the first in the world to propose, implement, and patent generalizations of popular convolutional neural network architectures to graph-structured data such as social networks, allowing to do deep learning on graphs. The ability to learn fake news spread patterns on social networks will provide the needed breakthrough in the task of automated fake news detection.
GoodNews will convert the geometric deep learning technology into a commercial application of fake news detection in social media. The focus of the project will be three-fold: developing a demo system for fake news detection with real data from social media; verifying and solidifying our IP portfolio and its licensing terms; analyzing the market and coming up with a financeable business plan. We target establishing a company at the end of the project and attracting investment to develop a commercial-grade product.
Summary
In the past decade, social media have become one of the main sources of news for people around the world. Yet, it comes with the danger of exposure to intentionally false information. The extensive spread of fake news has recently become a centerpiece of controversy following the highly debated elections of President Donald Trump and the Brexit vote. It is alleged that the outcome of these votes resulted from the public opinion manipulation by a massive injection of fake news, possibly sponsored by hostile foreign governments, constituting perhaps one of the most serious and unprecedented threats to the modern democracies.
The ambition of GoodNews is to build the technological capability for algorithmic fake news detection in social media using a novel paradigm. Instead of following the traditional approach of analyzing the news content, we will analyze the news spreading patterns in social networks. The algorithmic core of GoodNews is based on a novel class of geometric deep learning algorithms developed in the ERC project LEMAN (Learning on Manifolds and Graphs). Our research group was among the first in the world to propose, implement, and patent generalizations of popular convolutional neural network architectures to graph-structured data such as social networks, allowing to do deep learning on graphs. The ability to learn fake news spread patterns on social networks will provide the needed breakthrough in the task of automated fake news detection.
GoodNews will convert the geometric deep learning technology into a commercial application of fake news detection in social media. The focus of the project will be three-fold: developing a demo system for fake news detection with real data from social media; verifying and solidifying our IP portfolio and its licensing terms; analyzing the market and coming up with a financeable business plan. We target establishing a company at the end of the project and attracting investment to develop a commercial-grade product.
Max ERC Funding
150 000 €
Duration
Start date: 2018-09-01, End date: 2020-02-29
Project acronym HETSPRESSO
Project A cartridge based flow chemistry machine for the automated synthesis of N-heterocycles for drug discovery
Researcher (PI) Jeffrey William BODE
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Proof of Concept (PoC), PC1, ERC-2015-PoC
Summary Saturated N-heterocycles are an important class of compounds and are attractive as scaffolds in the development of new pharmaceuticals. As part of ERC supported research, we identified a new class of chemical reagents – “SnAP Reagents” – that alleviate previous synthetic challenges. These SnAP reagents enable the synthesis of more drug-like saturated N-heterocycles, including some of the most sought after, but most difficult to prepare scaffolds. They have been successfully commercialized and are in high demand.
This high consumer demand, which is indicative of the interest in these products, is despite the disadvantages of this methodology: use of toxic materials, long reaction times, and relatively complicated reaction setups and workups. Furthermore, the sales of the reagents – while successful – have low margins and there are few opportunities for IP protection. We have therefore begun development of an innovative, cartridge-based, fully automated, stand-alone machine for conducting SnAP chemistry in a safe, rapid, and convenient manner. This approach provides a clear roadmap for a sustainable, successful Startup Entity by the development and sale of proprietary machines and disposable cartridges.
The ERC PoC funding will be used to assemble sufficient prototype machines and develop disposable cartridges for initial sales and marketing efforts. The successful assembly of a working prototype will provide the basis for the sale of first generation machines and a revenue stream for establishing a sustainable business. We have already identified interested parties who will purchase the first-generation instruments and provide valuable feedback for improving and optimizing their operation. In the longer-term, it is expected that sales of the disposable reagent cartridges and development of new machines that follow the same principles will emerge as the main activities of the start up company. We will also translate the technology and IP to other chemistries.
Summary
Saturated N-heterocycles are an important class of compounds and are attractive as scaffolds in the development of new pharmaceuticals. As part of ERC supported research, we identified a new class of chemical reagents – “SnAP Reagents” – that alleviate previous synthetic challenges. These SnAP reagents enable the synthesis of more drug-like saturated N-heterocycles, including some of the most sought after, but most difficult to prepare scaffolds. They have been successfully commercialized and are in high demand.
This high consumer demand, which is indicative of the interest in these products, is despite the disadvantages of this methodology: use of toxic materials, long reaction times, and relatively complicated reaction setups and workups. Furthermore, the sales of the reagents – while successful – have low margins and there are few opportunities for IP protection. We have therefore begun development of an innovative, cartridge-based, fully automated, stand-alone machine for conducting SnAP chemistry in a safe, rapid, and convenient manner. This approach provides a clear roadmap for a sustainable, successful Startup Entity by the development and sale of proprietary machines and disposable cartridges.
The ERC PoC funding will be used to assemble sufficient prototype machines and develop disposable cartridges for initial sales and marketing efforts. The successful assembly of a working prototype will provide the basis for the sale of first generation machines and a revenue stream for establishing a sustainable business. We have already identified interested parties who will purchase the first-generation instruments and provide valuable feedback for improving and optimizing their operation. In the longer-term, it is expected that sales of the disposable reagent cartridges and development of new machines that follow the same principles will emerge as the main activities of the start up company. We will also translate the technology and IP to other chemistries.
Max ERC Funding
149 040 €
Duration
Start date: 2016-11-01, End date: 2018-04-30
Project acronym HIVESIGN
Project High Impact Vector Signaling for Energy and Pin Efficient Communication between Electronic Components
Researcher (PI) Mohammad Amin SHOKROLLAHI
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Proof of Concept (PoC), PC1, ERC-2011-PoC
Summary Efficient communication between integrated circuits within an electronic component is a major concern for designers of electronic systems. The 'Interconnect,' as it is called in the industry, is considered to be a major bottleneck in the design of high performance electronic systems, both in terms of speed, and in terms of its contribution to the total energy consumption of such systems. Be it on a mobile device, where data communication may take place between the processor and memory, or in a server farm where communication takes place between devices in different racks, such high speed interconnects can contribute up to 40% of the total energy consumption. Taking into account that data centers alone consume 200 billion kilowatt hours annually worldwide, any decrease in the energy consumption of the interconnect has a meaningful impact on the society at large. At the heart of today?s interconnects lies ?differential signaling,? a method for transmitting information between components in an electronic device. This method uses two wires to communicate one bit by putting a physical quantity (voltage or current) of opposite polarities on the two wires, and reading the information as the polarity of the difference. The method provides for excellent noise immunity, but because of the limits on the number of pins on a chip, it needs to transmit the data at double the speed. This typically leads to a higher energy consumption, especially at high speeds. In the course of our research within the ERC funded Advanced Grant 'ECCSciEng' we have discovered a completely new class of signaling methods which have better noise immunity, require far fewer wires, and consume far less energy than differential signaling. The method has the potential to drastically reduce the power consumption of electronic devices. The goal of this proposal is to explore this new class of signaling methods further, and build prototypes to convince to adopt them into their products.
Summary
Efficient communication between integrated circuits within an electronic component is a major concern for designers of electronic systems. The 'Interconnect,' as it is called in the industry, is considered to be a major bottleneck in the design of high performance electronic systems, both in terms of speed, and in terms of its contribution to the total energy consumption of such systems. Be it on a mobile device, where data communication may take place between the processor and memory, or in a server farm where communication takes place between devices in different racks, such high speed interconnects can contribute up to 40% of the total energy consumption. Taking into account that data centers alone consume 200 billion kilowatt hours annually worldwide, any decrease in the energy consumption of the interconnect has a meaningful impact on the society at large. At the heart of today?s interconnects lies ?differential signaling,? a method for transmitting information between components in an electronic device. This method uses two wires to communicate one bit by putting a physical quantity (voltage or current) of opposite polarities on the two wires, and reading the information as the polarity of the difference. The method provides for excellent noise immunity, but because of the limits on the number of pins on a chip, it needs to transmit the data at double the speed. This typically leads to a higher energy consumption, especially at high speeds. In the course of our research within the ERC funded Advanced Grant 'ECCSciEng' we have discovered a completely new class of signaling methods which have better noise immunity, require far fewer wires, and consume far less energy than differential signaling. The method has the potential to drastically reduce the power consumption of electronic devices. The goal of this proposal is to explore this new class of signaling methods further, and build prototypes to convince to adopt them into their products.
Max ERC Funding
150 000 €
Duration
Start date: 2012-03-01, End date: 2013-06-30
Project acronym ICE
Project Intelligent Control of Energy Storage for Smart Buildings and Grids
Researcher (PI) Colin Neil JONES
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Proof of Concept (PoC), PC1, ERC-2016-PoC
Summary The ICE project will demonstrate that energy regulation services can be provided to the smart grid in a technically reliable and financially lucrative fashion by utilizing a combination of smart commercial buildings and commercial batteries. The key to out-competing traditional solutions with such a service is the provision of energy storage at low capital and operational costs, which the ICE solution does via a novel hybrid storage concept that mixes the inexpensive virtual storage capacity, but slow response, of smart commercial buildings, with fast, but expensive, electrical battery systems. The ERC project BuildNet has developed advanced algorithms to manage such a hybrid system that drastically reduces the required capex-intensive battery system compared to alternative solutions. ICE will take the first step towards commercialization of this concept via a production-ready demonstration of all components of the solution, and a detailed analysis of the resulting deployment and operational costs.
Summary
The ICE project will demonstrate that energy regulation services can be provided to the smart grid in a technically reliable and financially lucrative fashion by utilizing a combination of smart commercial buildings and commercial batteries. The key to out-competing traditional solutions with such a service is the provision of energy storage at low capital and operational costs, which the ICE solution does via a novel hybrid storage concept that mixes the inexpensive virtual storage capacity, but slow response, of smart commercial buildings, with fast, but expensive, electrical battery systems. The ERC project BuildNet has developed advanced algorithms to manage such a hybrid system that drastically reduces the required capex-intensive battery system compared to alternative solutions. ICE will take the first step towards commercialization of this concept via a production-ready demonstration of all components of the solution, and a detailed analysis of the resulting deployment and operational costs.
Max ERC Funding
149 720 €
Duration
Start date: 2017-03-01, End date: 2018-08-31
Project acronym IDSC
Project Indoor Dye Sensitized Solar Cells
Researcher (PI) Michael GRÄTZEL
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Proof of Concept (PoC), PC1, ERC-2011-PoC
Summary "Low power electronic devices are growing ever more omnipresent in the home and work environments. From digital music players, to cell phones, wireless keyboards, and hearing aids, the operation of all such devices requires available electrical power. Batteries are presently the dominant power source for these applications, however the fixed capacity requires periodic replacement or recharging. On the other hand, photovoltaic power sources continuously provide electrical power in lit environments. High power conversion efficiencies are key to enabling design flexibility by lowering the required surface coverage of devices. The tunable nature of dye sensitized solar cells (DSC) make them uniquely well fit to efficiently harvest indoor light.
With this project we aim to demonstrate that DSCs are a competitive power source for the indoor environment. The unique ability to align the harvesting with the incident spectrum provides significant innovation potential for indoor DSCs. Demonstration of superior power conversion efficiency along with the requisite durability metrics will form a persuasive package to motivate additional investment. Drawing from concepts developed under the MESOLIGHT project (ERC grant 247404), the latest advancements in DSC designs will be employed to gain further advantages over competing technologies. Particularly, dye molecules and the corresponding electrolyte compounds designed and synthesized as part of MESOLIGHT task 1 will be utilized in the construction of DSCs for testing under indoor lighting conditions. These new cells are expected to demonstrate unprecedented power conversion efficiencies exceeding 20% under simulated indoor lighting. Beyond laboratory scale DSCs, we will further demonstrate enhanced indoor performance with an industrial DSC architecture based on flexible substrates."
Summary
"Low power electronic devices are growing ever more omnipresent in the home and work environments. From digital music players, to cell phones, wireless keyboards, and hearing aids, the operation of all such devices requires available electrical power. Batteries are presently the dominant power source for these applications, however the fixed capacity requires periodic replacement or recharging. On the other hand, photovoltaic power sources continuously provide electrical power in lit environments. High power conversion efficiencies are key to enabling design flexibility by lowering the required surface coverage of devices. The tunable nature of dye sensitized solar cells (DSC) make them uniquely well fit to efficiently harvest indoor light.
With this project we aim to demonstrate that DSCs are a competitive power source for the indoor environment. The unique ability to align the harvesting with the incident spectrum provides significant innovation potential for indoor DSCs. Demonstration of superior power conversion efficiency along with the requisite durability metrics will form a persuasive package to motivate additional investment. Drawing from concepts developed under the MESOLIGHT project (ERC grant 247404), the latest advancements in DSC designs will be employed to gain further advantages over competing technologies. Particularly, dye molecules and the corresponding electrolyte compounds designed and synthesized as part of MESOLIGHT task 1 will be utilized in the construction of DSCs for testing under indoor lighting conditions. These new cells are expected to demonstrate unprecedented power conversion efficiencies exceeding 20% under simulated indoor lighting. Beyond laboratory scale DSCs, we will further demonstrate enhanced indoor performance with an industrial DSC architecture based on flexible substrates."
Max ERC Funding
148 440 €
Duration
Start date: 2012-07-01, End date: 2013-06-30
Project acronym InInVi
Project Automatically Interactivised and Individualised Videos
Researcher (PI) Luc Luc Seraphina Jacobus Van Gool
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Proof of Concept (PoC), PC1, ERC-2015-PoC
Summary InInVi originates from augmented reality (AR) research within the ERC project VarCity. Our findings from VarCity of highly robust plane tracking combined with state-of-the-art object recognition enables very robust and qualitatively very high augmentations. In this PoC project, we transfer these findings into commercial applications in the live TV production business. Here, mechanical, inflexible solutions dominate to create overlays or AR animations, for instance step sensors to measure the field of view of a camera. As the purely visually operating proof-of-concept technology allows to overcome many of their limitations, e.g. high set-up costs or the assumption of a fixed camera location, it provides new opportunities in video-on-demand, live TV and live streaming.
Summary
InInVi originates from augmented reality (AR) research within the ERC project VarCity. Our findings from VarCity of highly robust plane tracking combined with state-of-the-art object recognition enables very robust and qualitatively very high augmentations. In this PoC project, we transfer these findings into commercial applications in the live TV production business. Here, mechanical, inflexible solutions dominate to create overlays or AR animations, for instance step sensors to measure the field of view of a camera. As the purely visually operating proof-of-concept technology allows to overcome many of their limitations, e.g. high set-up costs or the assumption of a fixed camera location, it provides new opportunities in video-on-demand, live TV and live streaming.
Max ERC Funding
149 876 €
Duration
Start date: 2016-03-01, End date: 2017-08-31
Project acronym IntraMEMS
Project Microfluidic platform for intra-operative tumor immunohistochemistry
Researcher (PI) Martinus A M Gijs
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Proof of Concept (PoC), PC1, ERC-2014-PoC
Summary We propose to develop an automated microfluidic platform for rapid analysis of the margins of frozen resections of tumors. It will allow cancer cells to be specifically distinguished from healthy cells during the time course of the surgical intervention itself via an immunohistochemistry (IHC) staining protocol completed in 5 minutes. The interest of such platform is that late-positivity, which is defined as the detection of cancer cells within the resection margin of the tumor by means of classical IHC after surgery, can be reduced or even avoided. Patients diagnosed with latepositive margins carry a high risk of cancer recurrence due to possible tumor cells left in the body. Intra-operative margin assessment of tumor resections is already done to evaluate the presence of such remaining cancer cells using different techniques. The most common one is microscopic morphological examination by applying hematoxylin and eosin (H&E) staining on cryo-sectioned surgical specimens, because it can be done easily in a matter of minutes. However, the major drawback of this method is the lack of cancer cell-specific staining: the interpretation relies only on morphology and small numbers of cancer cells infiltrating into healthy tissue are not easily recognizable. We therefore will develop a platform that can perform IHC together with H&E staining on cryo-sectioned samples within 5 minutes. Combining IHC that targets cancer cell-specific proteins with H&E staining will show unequivocally the presence of cancer cells and minimize those variations in the outcome of the analysis that originate from the pathologist’s personal interpretation. It will potentially decrease the recurrence rate, increase the success of post-operative treatment, and reduce unnecessary surgical rescissions.
Summary
We propose to develop an automated microfluidic platform for rapid analysis of the margins of frozen resections of tumors. It will allow cancer cells to be specifically distinguished from healthy cells during the time course of the surgical intervention itself via an immunohistochemistry (IHC) staining protocol completed in 5 minutes. The interest of such platform is that late-positivity, which is defined as the detection of cancer cells within the resection margin of the tumor by means of classical IHC after surgery, can be reduced or even avoided. Patients diagnosed with latepositive margins carry a high risk of cancer recurrence due to possible tumor cells left in the body. Intra-operative margin assessment of tumor resections is already done to evaluate the presence of such remaining cancer cells using different techniques. The most common one is microscopic morphological examination by applying hematoxylin and eosin (H&E) staining on cryo-sectioned surgical specimens, because it can be done easily in a matter of minutes. However, the major drawback of this method is the lack of cancer cell-specific staining: the interpretation relies only on morphology and small numbers of cancer cells infiltrating into healthy tissue are not easily recognizable. We therefore will develop a platform that can perform IHC together with H&E staining on cryo-sectioned samples within 5 minutes. Combining IHC that targets cancer cell-specific proteins with H&E staining will show unequivocally the presence of cancer cells and minimize those variations in the outcome of the analysis that originate from the pathologist’s personal interpretation. It will potentially decrease the recurrence rate, increase the success of post-operative treatment, and reduce unnecessary surgical rescissions.
Max ERC Funding
150 000 €
Duration
Start date: 2015-06-01, End date: 2016-11-30
Project acronym iPUBLIC
Project Inkjet Printed Ultrafast Batteries and Large Integrated Capacitors
Researcher (PI) MIKAEL Ostling
Host Institution (HI) KUNGLIGA TEKNISKA HOEGSKOLAN
Call Details Proof of Concept (PoC), PC1, ERC-2014-PoC
Summary Energy storage has become a global concern in modern society. With his ERC Advanced grant, Prof. Östling, an expert in solid state electronics from the KTH Royal Institute of Technology in Sweden, is trying to develop emerging devices based on silicon technology but with other materials than silicon, such as graphene and its analogue MoS2. These unique materials offer opportunities to novel applications, especially those related to energy storage. Prof. Östling and his team have recently developed an efficient inkjet printing technique to reliably deposit these materials at high resolution. They have been able to directly print graphene-based supercapacitors with good performance. In the new PoC project, they will employ the inkjet printing techniques to demonstrate a novel type of energy storage devices which are expected to possess both high energy density and high power density, and establish initial commercialisation steps. Although the novel devices have complicated structure, the full-printing solution will not evidently increase the production cost. Considering the improved performance, the effective cost is actually reduced. Furthermore, the printing solution facilitates scaling up during commercialisation. These printed ultrafast batteries have great potential to meet the urgent and increasing demands from the rapid growth of portable electronic devices and electric vehicles.
Summary
Energy storage has become a global concern in modern society. With his ERC Advanced grant, Prof. Östling, an expert in solid state electronics from the KTH Royal Institute of Technology in Sweden, is trying to develop emerging devices based on silicon technology but with other materials than silicon, such as graphene and its analogue MoS2. These unique materials offer opportunities to novel applications, especially those related to energy storage. Prof. Östling and his team have recently developed an efficient inkjet printing technique to reliably deposit these materials at high resolution. They have been able to directly print graphene-based supercapacitors with good performance. In the new PoC project, they will employ the inkjet printing techniques to demonstrate a novel type of energy storage devices which are expected to possess both high energy density and high power density, and establish initial commercialisation steps. Although the novel devices have complicated structure, the full-printing solution will not evidently increase the production cost. Considering the improved performance, the effective cost is actually reduced. Furthermore, the printing solution facilitates scaling up during commercialisation. These printed ultrafast batteries have great potential to meet the urgent and increasing demands from the rapid growth of portable electronic devices and electric vehicles.
Max ERC Funding
150 000 €
Duration
Start date: 2014-12-01, End date: 2016-05-31
Project acronym KidsSurgicalPlan
Project KidsSurgicalPlan: An Internet enterprise for sketch-based cardiovascular pre-surgical planning
Researcher (PI) Kerem Pekkan
Host Institution (HI) KOC UNIVERSITY
Call Details Proof of Concept (PoC), PC1, ERC-2014-PoC
Summary Approximately 1 in 100 children are born with a clinically significant congenital heart defect representing 47,000 children each year in the EU. Survival of the newborn requires series of complex open-heart surgeries where optimal hemodynamic performance is essential for improved post-operative quality of life. This work proposes a new computationally-enhanced interactive system for patient-specific pre-surgical design and optimization of pediatric cardiovascular surgeries. With the proposed system, clinicians will be able to rapidly implement a contemplated intervention on a patient-specific 3D computer model without execution. A novel interface will allow clinicians to communicate their surgical intentions directly on the computer model analogous to the way they would communicate their intentions to other clinicians or bioengineers. Basic cardiovascular research on embryonic biomechanics that is being investigated in the parent ERC project will provide the essential foundation of the proposed predictive capability. This interactive framework will be deployed to the web for worldwide impact. Based on market analysis our proposed business model becomes profitable in a short time. PoC project will provide necessary resources for developing the prototype patient-specific surgical-planning framework, clarification of regulatory pathways and follow-up pre-clinical research design.
Summary
Approximately 1 in 100 children are born with a clinically significant congenital heart defect representing 47,000 children each year in the EU. Survival of the newborn requires series of complex open-heart surgeries where optimal hemodynamic performance is essential for improved post-operative quality of life. This work proposes a new computationally-enhanced interactive system for patient-specific pre-surgical design and optimization of pediatric cardiovascular surgeries. With the proposed system, clinicians will be able to rapidly implement a contemplated intervention on a patient-specific 3D computer model without execution. A novel interface will allow clinicians to communicate their surgical intentions directly on the computer model analogous to the way they would communicate their intentions to other clinicians or bioengineers. Basic cardiovascular research on embryonic biomechanics that is being investigated in the parent ERC project will provide the essential foundation of the proposed predictive capability. This interactive framework will be deployed to the web for worldwide impact. Based on market analysis our proposed business model becomes profitable in a short time. PoC project will provide necessary resources for developing the prototype patient-specific surgical-planning framework, clarification of regulatory pathways and follow-up pre-clinical research design.
Max ERC Funding
150 000 €
Duration
Start date: 2015-06-01, End date: 2016-11-30
Project acronym LIPBA
Project Laser Identification of Pollen and Bacteria in Air
Researcher (PI) Jean-Pierre WOLF
Host Institution (HI) UNIVERSITE DE GENEVE
Call Details Proof of Concept (PoC), PC1, ERC-2013-PoC
Summary "This project aims at marketing a new laser based detector for identifying pollens in air, and further develop it for extending its application to the detection and identification of bacteria in air. Key markets are meteorological institutes for pollens and hospitals for bacteria identification, in order to address the problem of nosocomial infections. Business plans have been elaborated and even highlighted within the Mc Kinsey contest ""Venture 2012"", as one of the 20 finalists over 191 projects. Our bioaerosol detector also participated to the transatlantic campaign ""Planet Solar"" (www.planetsolar.org/deepwater) over the ocean for 6 months, and demonstrated its exceptional reliability and measurement quality. It also provided an extremely broad media coverage and thus worldwide visibility to our project."
Summary
"This project aims at marketing a new laser based detector for identifying pollens in air, and further develop it for extending its application to the detection and identification of bacteria in air. Key markets are meteorological institutes for pollens and hospitals for bacteria identification, in order to address the problem of nosocomial infections. Business plans have been elaborated and even highlighted within the Mc Kinsey contest ""Venture 2012"", as one of the 20 finalists over 191 projects. Our bioaerosol detector also participated to the transatlantic campaign ""Planet Solar"" (www.planetsolar.org/deepwater) over the ocean for 6 months, and demonstrated its exceptional reliability and measurement quality. It also provided an extremely broad media coverage and thus worldwide visibility to our project."
Max ERC Funding
148 901 €
Duration
Start date: 2014-06-01, End date: 2015-05-31
Project acronym M&M'S+
Project 3D Printer for Silicon MEMS & NEMS
Researcher (PI) Frank NIKLAUS
Host Institution (HI) KUNGLIGA TEKNISKA HOEGSKOLAN
Call Details Proof of Concept (PoC), PC1, ERC-2012-PoC
Summary "Additive manufacturing technologies such as 3D printing of polymers and metals have a large impact in many sectors. In this project we propose to explore ways to develop and commercially exploit a new type of 3D printing tool for manufacturing of silicon nanostructures. These 3D printers will make it possible to design and implement silicon micro- and nano-electromechanical system (MEMS&NEMS) sensors and photonic components in low volumes at affordable costs. As a result, resource-intensive semiconductor clean-room infrastructure will no longer be required to design and implement MEMS, NEMS and photonics components. A 3D printer for silicon nanostructures is made possible by employing a novel additive layer-by-layer manufacturing process that has been developed within the ERC Starting Grant project M&M´s (No.277879) lead by the PI. This process is based on alternating steps of chemical vapour deposition (CVD) of silicon and local implantation of gallium ions by focused ion beam (FIB) writing. In a final step, the defined 3D structures are formed by etching the silicon in potassium hydroxide (KOH), where the ion implantation provides the etching selectivity. The feasibility of the technology has been demonstrated within the ERC-M&M´s project by forming 3D silicon structures with layer thicknesses of 40 nm and lateral dimensions as small as 30 nm. To implement a 3D printer that can manufacture 3D silicon nanostructures from computer-generated 3D graphics, the steps of focused ion beam (FIB) writing and silicon deposition have to be combined as a fully automated switched process in a single tool."
Summary
"Additive manufacturing technologies such as 3D printing of polymers and metals have a large impact in many sectors. In this project we propose to explore ways to develop and commercially exploit a new type of 3D printing tool for manufacturing of silicon nanostructures. These 3D printers will make it possible to design and implement silicon micro- and nano-electromechanical system (MEMS&NEMS) sensors and photonic components in low volumes at affordable costs. As a result, resource-intensive semiconductor clean-room infrastructure will no longer be required to design and implement MEMS, NEMS and photonics components. A 3D printer for silicon nanostructures is made possible by employing a novel additive layer-by-layer manufacturing process that has been developed within the ERC Starting Grant project M&M´s (No.277879) lead by the PI. This process is based on alternating steps of chemical vapour deposition (CVD) of silicon and local implantation of gallium ions by focused ion beam (FIB) writing. In a final step, the defined 3D structures are formed by etching the silicon in potassium hydroxide (KOH), where the ion implantation provides the etching selectivity. The feasibility of the technology has been demonstrated within the ERC-M&M´s project by forming 3D silicon structures with layer thicknesses of 40 nm and lateral dimensions as small as 30 nm. To implement a 3D printer that can manufacture 3D silicon nanostructures from computer-generated 3D graphics, the steps of focused ion beam (FIB) writing and silicon deposition have to be combined as a fully automated switched process in a single tool."
Max ERC Funding
149 947 €
Duration
Start date: 2013-04-01, End date: 2014-03-31
Project acronym M3M
Project Mobile 3D Modeling
Researcher (PI) Marc A L Pollefeys
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Proof of Concept (PoC), PC1, ERC-2014-PoC
Summary The topic of this proposal is mobile 3D modeling. Building on top of 4DVideo results published at the latest International Conference on Computer Vision (ICCV2013), the goal of this proposal is to explore the commercial potential of enabling mobile 3D scanning with smart phones. Our algorithms allow to perform accurate 3D modeling from images at interactive rates on a smart phone (without requiring any additional sensors or a live data connection). Our solution can greatly expand the range of applications requiring 3D models (e.g. 3D printing) and enable completely new applications to be developed which would rely on anytime, anywhere scanning capabilities.
The goal of this project is to adapt and explore potential commercialization of our solution in the particular case of face reconstruction. Potential applications would be in the area of 3D authentication, 3D printing or medical diagnosis. This proposal addresses both engineering improvements that are required to reach market maturity, as well as business aspects of the commercialization including intellectual property protection and market consolidation.
Summary
The topic of this proposal is mobile 3D modeling. Building on top of 4DVideo results published at the latest International Conference on Computer Vision (ICCV2013), the goal of this proposal is to explore the commercial potential of enabling mobile 3D scanning with smart phones. Our algorithms allow to perform accurate 3D modeling from images at interactive rates on a smart phone (without requiring any additional sensors or a live data connection). Our solution can greatly expand the range of applications requiring 3D models (e.g. 3D printing) and enable completely new applications to be developed which would rely on anytime, anywhere scanning capabilities.
The goal of this project is to adapt and explore potential commercialization of our solution in the particular case of face reconstruction. Potential applications would be in the area of 3D authentication, 3D printing or medical diagnosis. This proposal addresses both engineering improvements that are required to reach market maturity, as well as business aspects of the commercialization including intellectual property protection and market consolidation.
Max ERC Funding
150 000 €
Duration
Start date: 2015-10-01, End date: 2017-03-31