The amount of currently available biomedical data is overwhelming. Large databases exist at different scales, from genes, to proteins, to patients' histories. But what do scientists do with all this information? Serbian-born Professor Nataša Pržulj, from University College London, works with Big Data to establish patterns and gain knowledge that could revolutionise how we treat diseases.
Based on University of Turku's press release
For more than 3000 years, men have captured wild Asian elephants to use them for work or entertainment. In a new study published today in Nature Communications, ERC grantee Virpi Lummaa shows the harmful effects of these ongoing practices on wild-caught animals. The findings are based on detailed records from the past 100 years over a population of 5000 timber elephants from Myanmar.
Travellers already benefit from applications harnessing data from sensor networks and smartphone users. They calculate alternative routes, help plan carpooling routes, or support the optimisation of public transport. With her ERC grant, Prof. Vana Kalogeraki works on a comprehensive software framework that will simplify the development of such mobile human-centred systems and make them more predictable and reliable.
The use and misuse of antibiotics has accelerated the emergence of drug-resistant bacterial strains, threatening our ability to treat common diseases. EU-funded research has shed new light on the mechanisms behind these microbial mutations, with implications for our understanding of diseases and resistance to treatment.
Virpi Lummaa holds an Academy of Finland Professorship at the University of Turku, Finland. She is interested in ageing, lifespan and natural selection in contemporary human populations, looking at evolutionary, ecological and demographic factors. At present, Prof. Lummaa also focuses on senescence patterns of the Asian elephant, a long-lived mammal that offers unique opportunities to address ageing mechanisms. Her latest findings highlight the significant role that elephant grandmothers play to ensure the survival of the calves, providing vital baby elephant care comparable to childcare in human communities across the world.Originally published in March 2017 as part of the multimedia campaign "ERC - 10 years – 10 portraits."
A team of researchers at the Institute of Evolutionary Biology in Barcelona deciphered the genetic mechanisms responsible for the evolutionary success of animals, including humans. The findings give insight on how life evolved from its simple one-cell form to complex multi-cellular organisms. The results, published on 21/4/2016 in Cell journal, may also provide hints how the life will evolve in future.
Plants form a key interface between the Earth’s surface and the atmosphere by exchanging carbon, water and energy with their environment. They also release chemicals called “volatile organic compounds” (VOCs) in the atmosphere. However, the overall impact of these gas compounds is poorly understood. Ülo Niinemets and his team look at the role of plants in large-scale Earth processes and how they affect air quality and the Earth surface temperature, solar radiation and precipitation.
Prof. Ian Thomas Baldwin received an ERC Advanced Grant to study the internal circadian clock of plants. In particular, he wants to understand the ecological consequences of plants fallings ‘out of synch’. In this interview, Prof. Baldwin shares some of his research findings and explains why he has chosen to make his study results openly available.
Is a precise answer always better than a slightly less detailed one? Not necessarily. Some problems could take forever to compute and tie up vast IT capacity. Where solutions are needed urgently, e.g. in business or manufacturing, near-enough can be more than enough. ERC-funded research has produced a library of fast, powerful approximation algorithms.
We are nowadays in the middle of the second quantum revolution. The first one brought forward the rules that govern physics at the atomic level – the quantum mechanics. The second entails the use of these rules for developing new technologies. In his ERC-funded project, Prof. Andris Ambainis from the University of Latvia investigates new methods of developing quantum algorithms and the limits of quantum computing.
