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arXiv 1805.01009q-bio.TO
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应用微分变换和Adomian分解方法求癌症免疫治疗模型的近似解析解

Approximate Analytical Solution of a Cancer Immunotherapy Model by the Application of Differential Transform and Adomian Decomposition Methods

Alireza Momenzadeh, Sima Sarv Ahrabi

摘要:

与其他治疗癌症的方法相比,免疫疗法在肿瘤治疗中发挥着重要作用。癌症免疫治疗的Kirschner-Panetta(KP)模型描述了临床上用作医学治疗的肿瘤细胞、效应细胞和白细胞介素-2之间的相互作用。该模型选择了免疫肿瘤动力学的丰富概念。本文利用微分变换和Adomian分解给出了KP模型的近似解析解。KP系统的复杂非线性使得这两种方法的应用需要更复杂的计算。将模型的近似解析解与数值四阶Runge-Kutta方法的结果进行了比较。

英文摘要:

Immunotherapy plays a major role in tumour treatment, in comparison with other methods of dealing with cancer. The Kirschner-Panetta (KP) model of cancer immunotherapy describes the interaction between tumour cells, effector cells and interleukin-2 which are clinically utilized as medical treatment. The model selects a rich concept of immune-tumour dynamics. In this paper, approximate analytical solutions to KP model are represented by using the differential transform and Adomian decomposition. The complicated nonlinearity of the KP system causes the application of these two methods to require more involved calculations. The approximate analytical solutions to the model are compared with the results obtained by numerical fourth order Runge-Kutta method.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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