From single disease reductionist research to informed Machine Learning for research on multimorbidity – 2024 E. Monument Street, Powe Room 1-500Q

Milo A. Puhan, Chair, Epidemiology and Public Health and Director, Epidemiology, Biostatistics and Prevention Institute at University of Zurich will present ” From single disease reductionist research to informed Machine Learning for research on multimorbidity”.  Dr. Puhan was a tenure track Associate Profeessor in the Department of Epidemiology at the Bloomberg School of Public Health.  A major focus of Dr. Puhan’s research is on nodeling the balance of benefits and harms of preventive or therapeutic  interventions for persons living with multiple chronic diseases.  This event is sponsored by: The Matthew Tayback, Sc.D., Memorial Lecture Fund; Center on Aging & Health; Division of Geriatric Medicine and Gerontology; Johns Hopkins Older Americans Independence Center; Epidemiology and Biostatistics of Aging Training Program.