Predicting Cardiovascular Disease Risk from Personalized Multi-Omic Data
Grant Amount: NIS 6.2 Million
About the Project
Prediction of future cardiovascular disease by developing algorithms, based on personalized multi-omic data (microbiome, immune, metabolome), diet and lifestyle using longitudinal follow-up data of participants with high cardiovascular risk.
Research Team
​Prof. Eran Segal
Weizmann Institute of Science, Computer Science and Applied Mathematics
​Prof. Ran Kornowski
Rabin Medical Center, Cardiology
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