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Prof Folkert Asselbergs
Prof Folkert Asselbergs profile picture
Appointment
  • Professorial Research Associate
  • Institute of Health Informatics
  • Faculty of Pop Health Sciences
Biography

Prof. Dr. Folkert W. Asselbergs is a professor in cardiovascular genetics and consultant cardiologist at the Department of Cardiology, UMC Utrecht, 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, Chair Center for Circulatory Health, UMC Utrecht, and chair data infrastructure Dutch Cardiovascular Alliance (www.dcvalliance.nl). Professor Asselbergs published more than 425 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. His 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. 

Research Summary

Prof Asselbergs research program focuses on precision medicine in predominantly hospital patients using EHR data and -omics. He is scientific coordinator of IMI BigData-at-Heart (www.bigdata-heart.eu) program 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 is member of a large number of consortia and (co-) founded several consortia of which igenetrain (www.igenetrain.org), and genius-chd (www.genius-chd.org) are the most prominent and recent ones. 

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