Article

Mechanistically informed adaptive dosing for cancer immunotherapy using AI-guided decision making

2026-06-12

Abstract excerpt

Optimizing dose and schedule remains a central challenge in oncology drug development, particularly for immunotherapies where fixed dosing regimens often fail to account for patient specific heterogeneity in tumor–immune dynamics. Here, we present a hybrid quantitative systems pharmacology–reinforcement learning–Monte Carlo Tree Search (QSP–RL–MCTS) framework for personalized immunotherapy dosing that formulates d...

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Literature Corpus work: 4e5f00b5-ce1c-5409-b599-b6158198144d
DOI: 10.64898/2026.06.09.730783

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