前列腺癌进展数学模型中的最佳治疗方案

Q3 Engineering Advances in Systems Science and Applications Pub Date : 2020-01-01 DOI:10.25728/ASSA.2020.20.4.998

Marie Litzinger, Y. Todorov, Miriam Foller-Nord, Manitjaiswal K. Chaudhary, A. Bratus

{"title":"前列腺癌进展数学模型中的最佳治疗方案","authors":"Marie Litzinger, Y. Todorov, Miriam Foller-Nord, Manitjaiswal K. Chaudhary, A. Bratus","doi":"10.25728/ASSA.2020.20.4.998","DOIUrl":null,"url":null,"abstract":"A mathematical model for the treatment of prostate cancer regarding androgen ablation is considered. The effect of the therapy on healthy cells is taken into account and modelled as a second order state constraint. A mathematical overview about possible therapy strategies is presented.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"20 1","pages":"83-104"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On Optimal Therapy Protocols in the Mathematical Model of Prostate Cancer Progression\",\"authors\":\"Marie Litzinger, Y. Todorov, Miriam Foller-Nord, Manitjaiswal K. Chaudhary, A. Bratus\",\"doi\":\"10.25728/ASSA.2020.20.4.998\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A mathematical model for the treatment of prostate cancer regarding androgen ablation is considered. The effect of the therapy on healthy cells is taken into account and modelled as a second order state constraint. A mathematical overview about possible therapy strategies is presented.\",\"PeriodicalId\":39095,\"journal\":{\"name\":\"Advances in Systems Science and Applications\",\"volume\":\"20 1\",\"pages\":\"83-104\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Systems Science and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25728/ASSA.2020.20.4.998\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Systems Science and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25728/ASSA.2020.20.4.998","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}

引用次数: 0

摘要

考虑了前列腺癌雄激素消融治疗的数学模型。考虑到治疗对健康细胞的影响，并将其建模为二阶状态约束。提出了可能的治疗策略的数学概述。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

On Optimal Therapy Protocols in the Mathematical Model of Prostate Cancer Progression

A mathematical model for the treatment of prostate cancer regarding androgen ablation is considered. The effect of the therapy on healthy cells is taken into account and modelled as a second order state constraint. A mathematical overview about possible therapy strategies is presented.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Advances in Systems Science and Applications Engineering-Engineering (all)

CiteScore

1.20

自引率

0.00%

发文量

期刊介绍： Advances in Systems Science and Applications (ASSA) is an international peer-reviewed open-source online academic journal. Its scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome. ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public governance, finance, and many others.