A study on fractional tumor immune interaction model by the semi-analytic and numerical approach

Q2 Mathematics
Nikita Chaudhary, Twinkle R. Singh, Rajiv K. Singh
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引用次数: 0

Abstract

This work investigates a fractional-order tumor–immune interaction model formulated using the Caputo fractional derivative. Due to the presence of memory and hereditary effects in biological systems, the fractional framework provides a more realistic description of tumor–immune dynamics. The semi-analytical method namely the fractional multi-step differential transform method (FMs-DTM) and the Newton polynomial interpolation based numerical method (NPM) are employed to obtain approximate solutions of the proposed model. A comparative study is carried out to validate the accuracy and reliability of both methods for different fractional orders. Furthermore, the influence of key biological parameters, vaccination strategy, and fractional order on tumor and immune cell populations is analyzed to gain deeper biological insight. Numerical simulations demonstrate close agreement between the proposed methods and existing numerical schemes.

基于半解析和数值方法的分数肿瘤免疫相互作用模型研究
这项工作研究了分数级肿瘤-免疫相互作用模型使用卡普托分数阶导数公式。由于生物系统中存在记忆和遗传效应,分数框架提供了更现实的肿瘤免疫动力学描述。采用半解析方法即分数阶多步微分变换法(FMs-DTM)和基于牛顿多项式插值的数值方法(NPM)求得该模型的近似解。通过对比研究,验证了两种方法在不同分数阶下的准确性和可靠性。此外,还分析了关键生物学参数、疫苗接种策略和分数顺序对肿瘤和免疫细胞群体的影响,以获得更深入的生物学见解。数值模拟结果表明,本文提出的方法与现有的数值格式非常吻合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Annali dell''Universita di Ferrara
Annali dell''Universita di Ferrara Mathematics-Mathematics (all)
CiteScore
1.70
自引率
0.00%
发文量
71
期刊介绍: Annali dell''Università di Ferrara is a general mathematical journal publishing high quality papers in all aspects of pure and applied mathematics. After a quick preliminary examination, potentially acceptable contributions will be judged by appropriate international referees. Original research papers are preferred, but well-written surveys on important subjects are also welcome.
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