Friday, August 31, 2024
10:20 – 11:10 a.m. (CST)
ETB 1020
Dr. Bobak Mortazavi
Associate Professor, Computer Science & Engineering, Texas A&M University
Title: “Sensing and Modeling for Personalized Cardiovascular Digital Health”
Abstract
Recent sensing and modeling techniques have led to advancements in clinical modeling, resulting in advancements in interpretation, evaluation, and risk prediction in cardiovascular outcomes. Large datasets, a focus on integrating electronic health records and clinical trials data has enabled improvements in cardiovascular care. However, there still remain significant gaps in patient care in personalized and remote setting in both diagnosis and recovery. In this talk we explore sensing and modeling for remote health for personalized cardiovascular care, moving towards continuous monitoring of clinical biomarker signals in remote settings for clinical diagnosis.
Biography
Bobak Mortazavi, PhD, is an Associate Professor of Computer Science & Engineering and part of the Center for Remote Health Technologies and Systems at Texas A&M University and holds an affiliation with the Yale University School of Medicine’s Center for Outcomes Research and Evaluation. His research focuses on the intersection of wearable technology, machine learning, and cardiovascular-focused clinical outcomes research, to develop longitudinal, personalized models of health. He has made important contributions in enabling wearable sensing technologies for personal health monitoring and integrating machine learning modeling for improving the use of this data in the context of clinical outcomes, with his work supported by awards from DARPA, the NSF, and the NIH.
For more on Dr. Mortazavi and his work, go to https://engineering.tamu.edu/cse/profiles/mortazavi-bobak.html) & STMI Lab – Home
Please join us on Friday, 8/31/24 at 10:20 a.m. in ETB 1020.