Abstract
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.
MeSH Terms
HumansAntineoplastic AgentsNeoplasmsComputer SimulationDrug Dosage CalculationsAlgorithmsDose-Response RelationshipDrug
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Publication Info
- Year
- 2025
- Type
- article
- Volume
- 15
- Issue
- 1
- Pages
- 43510-43510
- Citations
- 0
- Access
- Closed
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Cite This
Farshad Rahimi,
Mahdieh Samadi
(2025).
Delay-aware chemotherapy dosing via online critic learning.
Scientific Reports
, 15
(1)
, 43510-43510.
https://doi.org/10.1038/s41598-025-25060-x
Identifiers
- DOI
- 10.1038/s41598-025-25060-x
- PMID
- 41372232
- PMCID
- PMC12695902