病毒疗法、化疗和免疫疗法对免疫系统的影响:数学建模方法

Aminatus Sa'adah, Prihantini Prihantini, Bidayatul Masulah
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引用次数: 0

摘要

医学研究和治疗干预不断发展,其中一个有趣的研究领域是病毒疗法、化疗和免疫系统之间复杂的相互作用。每种疗法都有各自的优缺点。在这项研究中,我们建立了一个数学模型,以描述在使用这三种疗法治疗癌症患者时,免疫系统、肿瘤细胞和正常细胞是如何相互作用的。为了确定各种疗法的有效性,研究人员对八种不同的治疗策略进行了数值模拟。这些模拟测量了免疫细胞、肿瘤细胞和正常细胞的浓度因治疗而降低的程度。根据所进行的数值模拟,三种疗法的应用使肿瘤细胞的浓度降低幅度最大(99%),但同时也使体内免疫细胞的浓度显著降低(68%)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Effect of Virotherapy, Chemotherapy, and Immunotherapy to Immune System: Mathematical Modelling Approach
Medical research and therapeutic interventions continue to evolve, and one interesting area of study is the complex interaction among virotherapy, chemotherapy, and the immune system. Each treatment has its own advantages and disadvantages. In this study, a mathematical model was developed to describe how the immune system, tumor cells, and normal cells interact when all three types of therapy are used to treat cancer patients. To determine the effectiveness of various treatments, numerical simulations of eight different treatment strategies were performed. These simulations measured how much the concentration of immune cells, tumor cells, and normal cells decreased as a result of the treatment. Based on the numerical simulations performed, the application of the three types of therapy provided the greatest reduction (99%) in the concentration of tumour cells but also provided a significant reduction (68%) in the concentration of immune cells in the body.
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