Jihad Obeid, M.D.

I am a Professor of Biomedical Informatics in the Department of Public Health Sciences and the Associate Director of the Biomedical Informatics Center (BMIC) at the Medical University of South Carolina (MUSC), which supports the research infrastructure through the South Carolina Clinical & Translational Research Institute (SCTR). My research focuses on the use of artificial intelligence (AI) applications with EHR data for phenotyping and predictive purposes. I led an NIH-funded multi-institutional project to examine deep learning approaches for the automated detection and prediction of suicidal behavior using EHR data. I am a co-founder of the AI Hub at MUSC and the director of the recently launched Cancer Integrated Data-Enabled Resource (CIDER), which aggregates data from multiple sources including electronic health records (EHR), social determinants of health (SDOH), the Biorepository & Tissue Analysis Shared Resource (BTA), the Cancer Registry, next-generation sequencing (NGS) clinical variant data, and other data sources. This integrated data approach empowers data-driven research, supports feasibility analyses for clinical trials, and advances translational science efforts at MUSC Hollings Cancer Center and MUSC at large.