Project Overview

Cancer is a complex, evolving disease in which each patient’s tumor presents a unique and multifaceted profile. Current approaches largely overlook this complexity, leading to suboptimal choice of therapy and frequent drug resistance. Artificial intelligence (AI) and deep learning have the power to transform cancer treatment by turning the vast, complex data landscape into actionable insights. The Dynamic Digital Tumors team seeks to substantially increase the pace and power of model development in precision oncology, resulting in a general-purpose drug response prediction engine that can be embedded in cancer centers and aid clinicians in selecting the right treatment for the right patients at the right time.

Together, we are developing, validating, and deploying an array of turnkey AI technologies: