AI and Decision Making in Medicine: From Disease to Therapy

3-0-9 units · Graduate

Introduction to fundamental principles and applications of artificial intelligence (AI) in medicine and medical research. Introduces foundational concepts in machine learning as they pertain to clinical decision support systems, personalized medicine, and advanced computational methods for drug optimization and protein folding. Stresses the interplay of clinical reasoning, risk stratification, and the design of novel therapeutics. Problem sets integrate theoretical knowledge and practical applications based on concrete problems in both medical and pharmaceutical science. Students taking graduate version complete additional assignments.