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COST ACTION CA21153
AtheroNET aims to consolidate and connect experts from different fields into European and international network that will focus on the use of multiple omics technologies and data integration through machine learning/artificial intelligence ML/AI approach to bring novel paradigms in prevention, diagnosis, and treatment of atherosclerotic cardiovascular disease (ASCVD).
The latest epidemiological data suggest that cardiovascular diseases (CVD) are still the leading cause of morbidity and mortality worldwide. In order to improve the CVD outcomes, we need new strategies that incorporate the complex interplay of different driving forces behind atherosclerosis pathophysiology in addition to the traditional risk factors.
WG1 (Co)-Leaders:
WG2 (Co)-Leaders:
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WG5 (Co)-Leaders: