Mathematical Model-Driven Deep Learning Enables Personalized Adaptive Therapy.

Generation of interpretable and personalized adaptive treatment schedules using a deep reinforcement framework that interacts with a virtual patient model overcomes the limitations of standardized strategies caused by heterogeneous treatment responses.