癌症治疗的药物剂量：一个随机模型预测控制的观点。

IF 2 4区数学 Q2 BIOLOGY

Journal of Theoretical Biology Pub Date : 2025-08-31 DOI:10.1016/j.jtbi.2025.112255

Andrés Hernández-Rivera , Pablo Velarde , Ascensión Zafra-Cabeza , José M. Maestre

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引用次数: 0

摘要

随机模型预测控制（SMPC）是一种有效的决策方法，适用于不确定性较大的应用场合。这项工作介绍了一种专门为癌症治疗设计的非线性SMPC配方。该方法考虑了肿瘤生长的随机性、非线性动力学和治疗的潜在副作用。通过一年的模拟，结果显示了该策略在控制药物剂量方面的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Drug dosing for cancer therapy: A stochastic model predictive control perspective

Stochastic Model Predictive Control (SMPC) is an effective decision-making method in applications where uncertainties play a significant role. This work introduces a non-linear formulation of SMPC specifically designed for cancer therapy. The proposed method considers the stochastic nature of tumor growth, non-linear dynamics, and a potential side effect of the treatment. Through one-year simulations, the results showcase the effectiveness of this strategy in controlling drug dosing.

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来源期刊

Journal of Theoretical Biology 生物-生物学

CiteScore

4.20

自引率

5.00%

发文量

218

审稿时长

51 days

期刊介绍： The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including: • Brain and Neuroscience • Cancer Growth and Treatment • Cell Biology • Developmental Biology • Ecology • Evolution • Immunology, • Infectious and non-infectious Diseases, • Mathematical, Computational, Biophysical and Statistical Modeling • Microbiology, Molecular Biology, and Biochemistry • Networks and Complex Systems • Physiology • Pharmacodynamics • Animal Behavior and Game Theory Acceptable papers are those that bear significant importance on the biology per se being presented, and not on the mathematical analysis. Papers that include some data or experimental material bearing on theory will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.