Fares Alahdab, MD, MS, MSc, FAHA

Fares Alahdab, MD, MS, MSc, FAHA, is an associate professor of biomedical informatics, biostatistics, epidemiology, and cardiology, and the director of graduate studies in health informatics at the University of Missouri School of Medicine. Dr. Alahdab’s clinical and research interests converge at the intersection of cardiovascular medicine, cardiometabolic health, advanced statistical learning, causal inference, multimodal data, and artificial intelligence.

His work incorporates multimodal data sources to assess health risk and disease. In the research space, Dr. Alahdab applies machine learning and artificial intelligence to build predictive models that evaluate risk and outcomes. He also aims to use advanced methods and integrate large data sets to better understand disease mechanisms, novel therapeutic targets, and unravel ways to provide better care based on the totality of high-quality evidence. A central focus of his work is on explainable AI to enhance clinical decision support and improve patient care.

Beyond clinical applications, Dr. Alahdab is also committed to strengthening research methodology. His scholarship includes meta-epidemiological studies, bibliometric analysis and investigations into scientific novelty, all aimed at advancing the rigor and transparency of medical research.