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Analyzing Real World Biomedical Data with AI
Real world data is becoming increasingly important in evaluating new medications, medical devices, and treatments. It can also be used to improve forecasting, risk analysis, patient outcomes, and more. Learn how AI can help leverage real world data from expert Fei Wang.
Fei Wang, PhD
Associate Professor of Health Informatics, Weill Cornell Medicine
Fei Wang has a PhD in machine learning and is an associate professor of health informatics in Weill Cornell Medicine. His research interest is deriving machine learning and AI models for deriving insights from heterogeneous biomedical data. He is a fellow of American College of Medical Informatics, a fellow of International Academy of Health Sciences and Informatics and a fellow of American Medical Informatics Association.
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