Events

The Institute of Artificial Intelligence for Digital Health invites you to attend its monthly seminar series, which will feature Dr. David Sontag, a Professor at MIT in the Department of Electrical Engineering and Computer Science (EECS), the Institute for Medical Engineering and Science (IMES), and the Computer Science and Artificial Intelligence Laboratory (CSAIL).

This talk explores the development of machine learning tools for personalized cancer treatment, using multiple myeloma and breast cancer as case studies. Dr. Sontag presents a clinical decision support system that forecasts patient-specific outcomes under different therapies by modeling biomarker trajectories and survival jointly. Leveraging a transformer-based architecture, the system supports more informed, individualized decisions. Next, to expand the amount of data available to learn such models, he describes how large language models can be used to scalably abstract clinical data from unstructured medical records. Finally, Dr. Sontag shares results from a physician survey study examining how clinicians interpret and act on ML predictions and introduce a framework to assess the causal validity of model outputs using falsification techniques. The talk highlights a path forward for AI in oncology that is both data-driven and clinically grounded.