A space-time Caputo fractional order and modified homotopy perturbation method for evaluating the pathological response of tumor-immune cells

Morufu Oyedunsi Olayiwola, Adedapo Ismaila Alaje
{"title":"A space-time Caputo fractional order and modified homotopy perturbation method for evaluating the pathological response of tumor-immune cells","authors":"Morufu Oyedunsi Olayiwola,&nbsp;Adedapo Ismaila Alaje","doi":"10.1016/j.health.2024.100325","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":73222,"journal":{"name":"Healthcare analytics (New York, N.Y.)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772442524000273/pdfft?md5=ae5988011b2edaa31e77a0aa024a709e&pid=1-s2.0-S2772442524000273-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Healthcare analytics (New York, N.Y.)","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772442524000273","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
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
期刊最新文献
An electrocardiogram signal classification using a hybrid machine learning and deep learning approach An inter-hospital performance assessment model for evaluating hospitals performing hip arthroplasty A data envelopment analysis model for optimizing transfer time of ischemic stroke patients under endovascular thrombectomy An investigation of Susceptible–Exposed–Infectious–Recovered (SEIR) tuberculosis model dynamics with pseudo-recovery and psychological effect A novel integrated logistic regression model enhanced with recursive feature elimination and explainable artificial intelligence for dementia prediction
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1