2025
12:00 PM - 01:00 PM
Tuesday Tue
Location
Medical Physics Seminar - Heiko Enderling
Mathematical models as the Engine of “Digital Twins” in Radiation Oncology and N=1 Clinical Trials
Time:
12:00pm – 1:00pm Seminar & Discussion
Location:
Zoom Webinar
Webinar Registration:
https://stanford.zoom.us/webinar/register/WN_M8bWOJOwTmS3D0Q0wXPYFA
Check your email for the Zoom webinar link after you have registered
Speaker
Dr. Heiko Enderling, Ph.D., Department of Radiation Oncology at The University of Texas MD Anderson Cancer Center
Heiko Enderling is Professor in the Department of Radiation Oncology at The University of Texas MD Anderson Cancer Center. He currently serves as Director of the Computational Modeling in Radiation Oncology Program, as well as Co-Lead of the Computational Modeling for Precision Medicine Focus Area of the Institute for Data Science in Oncology. He is Fellow of the Society for Mathematical Biology, where he also served on the Board of Directors and as President. Dr. Enderling develops mathematical and computational models of tumor growth and radiation treatment response, with the goal to identify novel biomarkers for patient-specific radiation therapy.
Abstract
To personalize radiation therapy, we must give the right dose and dose fractionation, at the right time, dynamically adapted, to best harness the radiobiological effects of radiation as well as synergy with the patient’s immune system. I present latest developments in the mathematical and computational modelling in radiation oncology to develop digital twins – constructs that mimic the structure and behavior of the patient and the tumor to make predictions and inform decisions that realize value. I present different simple approaches to build predictive pipelines and how to integrate those into clinical decision making towards the concept of real-time adaptive personalized radiation treatments.