Toyota AI Seminar: Computational Biomarkers to Predict Death Following Coronary Attacks

Coronary heart disease causes about one in every five deaths in the United States, making it the largest single cause of death. This situation can be attributed, in part, to an inability to match patients experiencing coronary attacks to treatments that are most appropriate for their individual risk. In this talk, I will discuss recent computational advances to extract information from large volumes of continuous ECG data collected during routine hospitalization following coronary attacks to risk stratify patients. This discussion will focus on how the information from these computational markers can be translated into clinical impact by complementing existing tools for risk assessment.
Zeeshan Syed is an Assistant Professor in Computer Science and Engineering at the University of Michigan. He recieved his S.B. and M.Eng. degrees from MIT in Electrical Engineering and Computer Science, and his Ph.D. from MIT EECS and Harvard Medical School in Computer Science and Biomedical Engineering. His research interests lie at the intersection of EECS and medicine, and focus on cardiological, neurological and critical care applications. Zeeshan is a recipient of the William A. Martin and Morris J. Levin awards.