Past Event: Babuška Forum

Towards Predictive Oncology through Multi-scale Imaging and Multi-scale Modeling

Thomas Yankeelov, Professor, Biomedical Engineering, Dell Medical School, and ICES, UT Austin

Abstract

The ability to identify—early in the course of therapy—cancer patients that are not responding to a given therapeutic regimen is highly significant. In addition to limiting patients’ exposure to the toxicities associated with unsuccessful therapies, it would allow patients the opportunity to switch to a potentially more efficacious treatment. In this presentation, we will discuss ongoing efforts at using data available from advanced imaging technologies to initialize and constrain predictive biophysical and biomathematical models of tumor growth and treatment response. Bio Professor Yankeelov is a distinguished senior cancer researcher with expertise in computational biology, advanced imaging, and mathematical modeling. He is a Professor in the Department of Biomedical Engineering and Dell Medical School. He holds the W.A. "Tex" Moncrief, Jr., Simulation-Based Engineering and Sciences Professorship II – Computational Oncology, and he directs the Center for Computational Oncology at the Institute for Computational Engineering and Sciences (ICES). He received his B.A. in mathematics from the University of Louisville, an M.A. in applied mathematics and an M.S. in physics from Indiana University, and a Ph.D. in biomedical engineering from SUNY at Stony Brook. He was a cancer imaging postdoctoral fellow with Drs. John C. Gore and Ronald R. Price at Vanderbilt University.