Optimizing Drug Schedule for Cell-Cycle Specific Cancer Chemotherapy

Panjwani, Bharti; Singh, Vijander; Rani, Asha; Mohan, V.

doi:10.1007/978-981-16-1696-9_7

Cited by 7 publications

(1 citation statement)

References 27 publications

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“…In the above literature, there is no lack of research on solving the chemotherapy drug optimization problem as a closed-loop control problem, aiming to maintain the optimal drug infusion rate through continuous adjustment, and the implementation of this strategy requires a fixed reference drug input value and continuous monitoring of various clinical output parameters [24], which is highly demanding in terms of equipment accuracy and personnel operational ability. The cost of deploying monitoring equipment and the training of specialized personnel will be a great challenge for areas with scarce medical resources.…”

Section: Literature Review 21 Chemotherapy Dose Optimization Based On...mentioning

confidence: 99%

Chemotherapy Regimen Optimization Using a Two-Archive Multi-Objective Squirrel Search Algorithm

Huo,

Liang,

Huo

2024

Applied Sciences

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Chemotherapy is one of the most effective treatments for cancer, but the efficacy of standard chemotherapy regimens is often limited by toxicities and the individual heterogeneity of cancers. Precise dosing is an important tool to improve efficacy and reduce significant differences in toxicity. However, most of the existing studies on chemotherapy optimization fail to fully consider the toxic side effects, drug resistance, and drug combinations, and thus the chemotherapy regimens obtained may face difficulty in achieving the expected efficacy and also affect the subsequent treatment. Therefore, this paper establishes a tumor growth model for the combination chemotherapy of cell cycle-specific and non-cycle-specific drugs and includes the factors of acquired drug resistance and toxic side effects, proposing an improved multi-objective Squirrel Search Algorithm, the TA-MOSSA, to solve the problem of accurate chemotherapy drug optimization. In this paper, experiments were conducted to analyze the efficacy of chemotherapy dosing regimens obtained by the TA-MOSSA based on the tumor growth model, and the results show that the TA-MOSSA can provide effective chemotherapy regimens for patients who take different treatment approaches.

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Section: Literature Review 21 Chemotherapy Dose Optimization Based On...mentioning

confidence: 99%