Computation in Cardiology: Markers, Models, and Medications

This talk describes how the burden of cardiovascular disease can
be decreased through the better use of data that are already routinely
collected in clinical settings with the application of sophisticated
computation. I will talk about different aspects of improving
cardiovascular care, focusing on novel computational features of increased
patient risk following heart attacks, more accurate models for
cardiovascular prognostication, and the personalization of patient
treatment regimens.
Zeeshan Syed is an Assistant Professor in the Department of Electrical
Engineering and Computer Science at the University of Michigan. He
previously received a Ph.D. in Computer Science and Biomedical Engineering
from the Harvard-MIT Health Sciences and Technology Division, as well as
M.Eng. and S.B. degrees from MIT EECS.