用于评估肿瘤免疫细胞病理反应的时空卡普托分数阶和修正同调扰动法

Morufu Oyedunsi Olayiwola, Adedapo Ismaila Alaje
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引用次数: 0

摘要

肿瘤是基因突变或环境因素促使细胞失控分裂的结果。本研究旨在探讨在卡普托分数阶化疗药物扩散条件下肿瘤免疫细胞的生长行为。为此,我们采用了改进的同调扰动法来求解所提出的非线性微分方程系统。我们获得了解析解,从而研究了肿瘤免疫细胞生长的时空病理反应。我们的分析还考虑了卡普托分数阶对系统动力学的影响,并将结果与经典的整数阶方案进行了比较。我们的研究结果表明,所提出的方法是一种有效而精确的技术,可用于理解肿瘤-免疫细胞生长过程中错综复杂的相互作用。此外,我们还发现卡普托分数阶在系统行为中起着重要作用,在今后分析此类系统时不应忽视。总之,这项研究为化疗药物分时给药情况下肿瘤免疫细胞的生长行为提供了见解,对癌症研究具有重要意义。
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A space-time Caputo fractional order and modified homotopy perturbation method for evaluating the pathological response of tumor-immune cells

Tumors result from genetic mutations or environmental factors that prompt cells to divide uncontrollably. This study aims to examine the behavior of tumor-immune cell growth in the presence of chemotherapy drug diffusion at a Caputo fractional order. To accomplish this, we employed the modified homotopy perturbation method to solve a proposed system of nonlinear differential equations. We obtained the analytical solutions to study the spatiotemporal pathological response of tumor-immune cell growth. Our analysis also considered the impact of the Caputo-fractional order on the system's dynamics and compared the results with the classical integer-order scenario. Our findings demonstrated that the proposed method is an effective and precise technique for understanding the intricate interactions of tumor-immune cell growth. Additionally, we revealed that the Caputo-fractional order plays a significant role in the system's behavior and should not be overlooked in future analyses of such systems. In conclusion, this study holds important implications for cancer research by providing insights into the behavior of tumor-immune cell growth in the presence of time-fractional administration of chemotherapy drugs.

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来源期刊
Healthcare analytics (New York, N.Y.)
Healthcare analytics (New York, N.Y.) Applied Mathematics, Modelling and Simulation, Nursing and Health Professions (General)
CiteScore
4.40
自引率
0.00%
发文量
0
审稿时长
79 days
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