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<p>This paper proposes a delay-aware adaptive control framework for individualized chemotherapy dosing based on online critic learning. The approach explicitly compensates for pharmacokinetic and pharmacodynamic delays while adapting to patient-specific uncertainties. An online critic network estimates the value function to guide real-time dose adjustments. Simulation results on diverse patient profiles demonstrate effective tumor suppression and toxicity control, highlighting the robustness of the proposed scheme to variations in delay and patient dynamics.</p>

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Delay-aware chemotherapy dosing via online critic learning

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月10日

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  • Farshad Rahimi,
  • Mahdieh Samadi

摘要

This paper proposes a delay-aware adaptive control framework for individualized chemotherapy dosing based on online critic learning. The approach explicitly compensates for pharmacokinetic and pharmacodynamic delays while adapting to patient-specific uncertainties. An online critic network estimates the value function to guide real-time dose adjustments. Simulation results on diverse patient profiles demonstrate effective tumor suppression and toxicity control, highlighting the robustness of the proposed scheme to variations in delay and patient dynamics.