While chemotherapy has advanced in personalization, personalized radiation therapy for cancer remains underdeveloped. A new project will use AI, in particular, deep reinforcement learning, to analyze multimodal data, and enhance cancer characterization and treatment to ultimately improve patient outcomes. Using personal health data, genetic information about the tumor, and patient treatment and follow-up data, digital twins will simulate diagnoses and treatment options to help physicians choose the most effective treatments and monitor responses over time.
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