内分泌饮食疗法和免疫疗法混合治疗乳腺癌的分数数学模型

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI:10.28919/cmbn/8036
M. Elkaf, K. Allali
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引用次数: 0

摘要

. 为了理解癌症是一个生物数学过程,我们建立了我们的模型,对内分泌饮食疗法和免疫疗法对乳腺癌发展的分数导数影响进行了分析和数值检验。因此,本文试图从正常细胞、肿瘤细胞、免疫细胞、雌激素(内分泌参数)和免疫治疗的角度来构建肿瘤动力学。本文首先证明了乳腺癌模型的适定性,分析了平衡点的存在性和稳定性,然后讨论了数值结果,从而得出分数阶导数的使用为乳腺癌混合治疗模型的动力学稳定性提供了更有用的信息。
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Fractional mathematical model underlying mixed treatments using endocrine diet therapy and immunotherapy for breast cancer
. To understand cancer as a biomathematical process, we establish our model to give an analytical and a numerical examination of the fractional derivative impact on developing breast cancer with endocrine diet therapy and immunotherapy. So, we try, in this paper, to formulate the cancer dynamics involving the normal cells, tumor cells, immune cells, estrogen (endocrine parameter) and immunotherapy. We show the wellposedness of the breast cancer model and we analyze the existence and the stability of the equilibria, then, we discuss the numerical results in order to conclude that the use of fractional derivatives provides more useful information about the stability of the breast cancer dynamics with mixed treatments model.
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来源期刊
Communications in Mathematical Biology and Neuroscience
Communications in Mathematical Biology and Neuroscience COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.10
自引率
15.40%
发文量
80
期刊介绍: Communications in Mathematical Biology and Neuroscience (CMBN) is a peer-reviewed open access international journal, which is aimed to provide a publication forum for important research in all aspects of mathematical biology and neuroscience. This journal will accept high quality articles containing original research results and survey articles of exceptional merit.
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