معرفی
Overview
Dr. Juan Velasco is a Research Fellow at the Yale School of Medicine, affiliated with the Electro-Biology and Arrhythmia Therapeutics Laboratory and the Department of Internal Medicine. His research integrates artificial intelligence, data science, and biomedical science to identify biomarkers, develop novel therapeutic strategies, and advance diagnostics for cardiovascular diseases. He has contributed to studies on atrial fibrillation mechanisms, aortic dissection prediction, and surgical outcomes analysis.
Professional Activities
- Peer-reviewed over 70 scientific articles
- Serves on editorial boards of journals including Frontiers in Nutrition, Frontiers in Psychology, and Journal of Gastrointestinal Cancer
- Presented work at the American Heart Association (AHA), European Association for Cardiothoracic Surgery (EACTS), and Society of Thoracic Surgeons (STS)
Research Focus
Dr. Velasco’s work spans computational drug discovery (e.g., AI-designed PARP inhibitors), cardiovascular surgical innovations (e.g., composite graft efficacy), and genetic risk factors for thoracic aortic dissection. Recent projects emphasize machine learning applications in predicting acute cardiovascular events and optimizing post-MI therapeutic strategies.
Impact
- Media coverage of his hypertension treatment tool development (Yale Daily News, 2022)
- Recipient of awards from leading medical organizations (details not specified)
- Long-term follow-up studies demonstrating durable outcomes in aortic root replacement techniques
