Article

TCGA-Informed Digital Twins for Safe Offline Reinforcement Learning in Chemotherapy Dose Optimization

2026-08-12

Abstract excerpt

<title>Abstract</title> <p>Background Chemotherapy dose adaptation requires sequential trade-offs between tumor control and physiological tolerance. Offline reinforcement learning can support preclinical evaluation of candidate dosing policies. For oncology applications, however, such evaluation requires explicit safety constraints, transparent simulation assumptions, and testing under clinically heterogeneous c...

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Literature Corpus work: 97e6f4bb-7ddd-50b6-8967-e58b8a879f23
DOI: 10.21203/rs.3.rs-10367047/v1

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