New at FRIS: patents, infrastructure and datasets
As you can see above, the FRIS Research portal has been expanded with additional information about patents, infrastructure and datasets. Beside information about almost 1400 patents, you can also find limited information about infrastructure and datasets. The amount of information will of course grow systematically in the future, so that this will offer a more complete view of the Flemish research landscape. We wish you a good surfing experience!
Researcher in the spotlight
Dr José L. Peñalvo is an epidemiologist whose career has led him via Spain, Finland, and the United States to the Institute of Tropical Medicine in Antwerp (ITM), where he is a Professor of Public Health and leads the Unit of Non-Communicable Diseases (NCDs). The unit develops epidemiological research and disease modelling to understand the drivers of the rising burden of NCDs, and its synergies with infectious diseases, particularly in vulnerable populations.
José takes a life-course approach to health promotion using comparative-risk assessment models and state-transition models to quantify the long-term effects that biological, physical and social exposures may have on the onset and the development of NCD’s. This FWO-sponsored project aims at informing the prioritisation and development of effective and equitable preventive strategies for NCDs. “Plenty of attention goes towards disease control and treatment, and rightly so, but much more effort should be made in the primary prevention of risk factors to really impact and curb the current burden of NCDs globally,” says José.
The COVID-19 pandemic was an unprecedented time for epidemiologists, that’s why José feels privileged to be able to contribute to the understanding of the current situation. He coordinates the H2020-funded unCoVer project. UnCoVer is a functional network of 29 partners across 18 countries, capable of harvesting real-world data derived from the response and provision of care to patients by the health systems during the pandemic. Using this extensive network, José is particularly interested in the increased vulnerability of chronic patients towards worse COVID-19 outcomes, as well as creating advanced federated learning systems for accessing and analysing heterogeneous data sources.