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Optimal drug regimens in cancer chemotherapy: A multi-objective approach

机译:癌症化疗中的最佳药物治疗方案:多目标方法

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In this paper, based on two mathematical models, a set of optimal anticancer drug regimens is designed. Two important difficulties in treating cancers with chemotherapy are drug resistance and toxicity. They were considered in our treatment design; a compartmental model was extended to appropriately describe drug resistance and two constraints were imposed on the value of the anticancer drug dynamics to avoid toxicity. Indeed, we optimized two objective functions simultaneously in order to minimize the size of the tumor as well as the side effects of the anticancer drug on the patient's body. Operating the described task, a bi-objective optimization problem was defined and solved by an evolutionary method. This optimization led to a set of optimal drug regimens, which can be used in several chemotherapy treatments. Numerical simulations were given to illustrate the flexibility of the method.
机译:本文基于两个数学模型,设计了一套最佳的抗癌药物方案。用化学疗法治疗癌症的两个重要困难是耐药性和毒性。在我们的治疗设计中考虑了它们;扩展了隔室模型以适当地描述抗药性,并且为避免毒性对抗癌药动力学的值施加了两个约束。实际上,我们同时优化了两个目标功能,以最大程度地减少肿瘤的大小以及抗癌药对患者身体的副作用。操作所描述的任务,定义了一个双目标优化问题并通过进化方法解决了。这种优化导致了一组最佳的药物治疗方案,可用于多种化学疗法。数值模拟表明了该方法的灵活性。

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