Digital Health and Digital Twins: A Cancer Perspective

Eric Stahlberg, Ph.D.

Executive Administrative Director, Institute for Data Science in Oncology, UT MD Anderson Cancer Center

Abstract:

This presentation provides perspectives on how the development of computational models, leaps forward in generative and predictive AI technologies, and pursuit of digital twins are driving innovation in healthcare, with a focus on applications in cancer. The convergence and integration of these approaches together with advances in measurement, monitoring, automation and even manufacturing are accelerating the capability to discover new treatments and deliver exciting new levels of precision medicine and personalized care more efficiently and more rapidly. 

Biography:

Eric Stahlberg is one of the principal directors for the MD Anderson Cancer Center Institute for Data Science in Oncology. As part of the leading cancer hospital in the US and through innovative IDSO programs, the institute serves as a catalyst and focal point for cancer team data science efforts, accelerating cancer research and improving cancer care with a priority on patient impact. 

Prior to joining MD Anderson in December of 2024, Eric spent 14 years at Frederick National Laboratory for Cancer Research, where he spearheaded efforts to create the National Cancer Institute collaboration with the US Department of Energy and bring large-scale AI and HPC to cancer challenges at all levels.

He also led strategic and data science initiatives to develop key scalable data infrastructure and foster the development of multiple global collaborations around many topics, including the use of digital twins in cancer. He has been recognized as an FCW top 100 and received recognition at Frederick National Laboratory for his accomplishments.