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Subtyping Social Determinants of Health in All of Us: From AI to Policy Translation

April 16 @ 11:00 am 12:00 pm

Part of the Ethical and Responsible AI in Medical Systems Seminar Series


Suresh K. Bhavnani, Ph.D., M.Arch., FAMIA

Suresh K. Bhavnani, Ph.D., M.Arch., FAMIA
Professor, Biomedical Informatics
Director, Discovery and Innovation through Visual Analytics
Department of Biostatistics and Data Science
School of Public and Population Health
University of Texas Medical Branch

Social determinants of health (SDoH) barriers such as food and housing insecurity account for between 30-55% of people’s health outcomes. While many studies have identified strong associations among specific SDoH barriers and health outcomes, little is known about how they co-occur to form subtypes, critical for designing targeted interventions and healthcare policies. In this presentation, Dr. Bhavnani will discuss the opportunities and challenges of using bipartite network analysis and visualization to automatically identify SDoH subtypes in the All of Us dataset, and ongoing research in translating those subtypes into healthcare policy.

About Dr. Bhavnani

Dr. Bhavnani is professor of biomedical informatics in the Department of Biostatistics and Data Science at the University of Texas Medical branch, senior fellow at the Sealy Center on Aging, member of the Institute for Translational Sciences, and adjunct faculty at the School of Biomedical Informatics in UT Houston.

Dr. Bhavnani obtained a Ph.D. in Computational Design and Human-Computer Interaction from Carnegie Mellon University, and specializes in network visualization and analysis of biomedical data, with translation to the design of decision-support systems. As director of the Discovery and Innovation through Visual Analytics (DIVA) lab at UTMB, his research has received five distinguished paper awards in biomedical informatics from the American Medical Informatics Association, and is PI on grants from NIH, CDC, and PCORI.

This seminar series is made possible through funding from NSF Award #2334391 and RCMI Program in Health Disparities Research at Meharry Medical College, NIH Supplement Award: 3U54MD007586-37S3.