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UrduWhile 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.
Tag: deep reinforcement learning
Confidence-aware reinforcement learning for energy management of electrified vehicles
Abstract The reliability of data-driven techniques, such as deep reinforcement learning (DRL) frequently diminishes in scenarios beyond their training environments. Despite DRL-based energy management strategies (EMS) having gained great popularity in optimizing the energy economy of electrified vehicles (EVs), their performance degradation in untrained…
Cybersecurity Defenders Are Expanding Their AI Toolbox
Scientists have taken a step toward harnessing a form of artificial intelligence known as deep reinforcement learning, or DRL, to protect computer networks. DRL’s effectiveness at stopping adversaries from reaching their goals offers promise for a role for autonomous AI in proactive cyber defense.