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Appointment
- Professorial Research Associate
- Institute of Health Informatics
- Faculty of Pop Health Sciences
Biography
Prof Folkert Asselbergs is Prof of Precision medicine at the Institute of Cardiovascular Science and Institute of Health Informatics, University College London, Director BRC Clinical and Research Informatics Unit, UCLH, In addition, he works as professor in cardiovascular genetics and consultant cardiologist at the Department of Cardiology, UMC Utrecht, Netherlands, He is the chair of the Center for Circulatory Health at UMC Utrecht and chair data infrastructure of the Dutch Cardiovascular Alliance (www.dcvalliance.nl). Professor Asselbergs published more than 500 scientific papers in the field of cardiovascular disease and his work has been funded by the Netherlands Heart Foundation, Netherlands Heart Institute, British Heart Foundation, leDucq Foundation, EU FP7, European Society of Cardiology, BBMRI, National Institutes of Health, Innovative Medicines Initiative, European Research Area Network on Cardiovascular Diseases, ErasmusPlus, NWO and ZonMw.
Research Themes
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Prof Folkert Asselbergs research program focuses on precision medicine using real-world data from electronic health records and registries and -omics research for drug target discovery, pharmacogenetics and stratified medicine. Prof Asselbergs is the scientific coordinator of IMI BigData@Heart that aims to deliver clinically relevant disease phenotypes and outcomes, scalable insights from real-world evidence and insights driving drug development and personalised medicine through advanced big-data analytics. He (co-) founded several consortia of which igenetrain (www.igenetrain.net), genius-chd (www.genius-chd.org), and CAPACITY-COVID (https://capacity-covid.eu) are the most prominent and recent ones.
Teaching Summary
Prof Asselbergs is co-director of the summerschool Big Data in Health Research and coordinator of Erasmus Plus Dataclinics program that aims to develop a curriculum which complies to the need for a healthcare workforce to obtain the necessary skills regarding datascience to contribute to improving the effectiveness of medical research and patient care (https://www.dataclinics.eu).
