Mathematical Modeling and Data Science for Biology and Medicine
This reprint contains all of the articles that were accepted and published in the Special Issue of Mathematics titled "Mathematical Modeling and Data Science for Biology and Medicine ". This Special Issue aims to highlight the development and growing application of mathematical models and data scien...
Wedi'i Gadw mewn:
| Fformat: | Online |
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| Iaith: | Saesneg |
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MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Pynciau: | |
| Mynediad Ar-lein: | ONIX_20250812T110751_9783725846474_575 |
| Tagiau: |
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
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| _version_ | 1869529439041224704 |
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| collection | Directory of Open Access Books |
| description | This reprint contains all of the articles that were accepted and published in the Special Issue of Mathematics titled "Mathematical Modeling and Data Science for Biology and Medicine ". This Special Issue aims to highlight the development and growing application of mathematical models and data science in medicine, as well as their role in enhancing the understanding and clinical management of various diseases. The articles included in this Issue explore a diverse array of topics, such as cell differentiation, blood flow, tumor growth under virotherapy, chemotherapy treatment sequences for triple-negative locally advanced breast cancer, incidence-dependent management strategies against an SEIRS epidemic, important measures for the prevention and control of the COVID-19 epidemic, invadopodia formation in cancer cells, fitting parameters for multi-exponential diffusion-weighted MRI, and oncolytic virotherapy. These studies employ a variety of mathematical tools, including graph theory, transport equation, systems of ordinary differential equations, systems of nonlinear diffusion equations, free boundary problems, center manifold theory, and optimization techniques, to model a wide range of biological processes. In addition, medical applications are presented based on their mathematical analyses and numerical simulations. Through these articles, readers will gain valuable insights into the latest trends and applications of mathematical modeling in medicine. |
| format | Online |
| id | doab-20.500.12854ir-165820 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1658202025-08-12T10:19:55Z Mathematical Modeling and Data Science for Biology and Medicine Suzuki, Takashi mathematical oncology mathematical immunology mathematical epidemiology systems biology pandemic prediction data science mathematical methods in diagnosis and therapy thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science This reprint contains all of the articles that were accepted and published in the Special Issue of Mathematics titled "Mathematical Modeling and Data Science for Biology and Medicine ". This Special Issue aims to highlight the development and growing application of mathematical models and data science in medicine, as well as their role in enhancing the understanding and clinical management of various diseases. The articles included in this Issue explore a diverse array of topics, such as cell differentiation, blood flow, tumor growth under virotherapy, chemotherapy treatment sequences for triple-negative locally advanced breast cancer, incidence-dependent management strategies against an SEIRS epidemic, important measures for the prevention and control of the COVID-19 epidemic, invadopodia formation in cancer cells, fitting parameters for multi-exponential diffusion-weighted MRI, and oncolytic virotherapy. These studies employ a variety of mathematical tools, including graph theory, transport equation, systems of ordinary differential equations, systems of nonlinear diffusion equations, free boundary problems, center manifold theory, and optimization techniques, to model a wide range of biological processes. In addition, medical applications are presented based on their mathematical analyses and numerical simulations. Through these articles, readers will gain valuable insights into the latest trends and applications of mathematical modeling in medicine. 2025-08-12T10:19:53Z 2025-08-12T10:19:53Z 2025 book ONIX_20250812T110751_9783725846474_575 9783725846474 9783725846481 https://directory.doabooks.org/handle/20.500.12854/165820 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/11245 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-4648-1 10.3390/books978-3-7258-4648-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725846474 9783725846481 236 open access |
| spellingShingle | mathematical oncology mathematical immunology mathematical epidemiology systems biology pandemic prediction data science mathematical methods in diagnosis and therapy thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science Mathematical Modeling and Data Science for Biology and Medicine |
| title | Mathematical Modeling and Data Science for Biology and Medicine |
| title_full | Mathematical Modeling and Data Science for Biology and Medicine |
| title_fullStr | Mathematical Modeling and Data Science for Biology and Medicine |
| title_full_unstemmed | Mathematical Modeling and Data Science for Biology and Medicine |
| title_short | Mathematical Modeling and Data Science for Biology and Medicine |
| title_sort | mathematical modeling and data science for biology and medicine |
| topic | mathematical oncology mathematical immunology mathematical epidemiology systems biology pandemic prediction data science mathematical methods in diagnosis and therapy thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| topic_facet | mathematical oncology mathematical immunology mathematical epidemiology systems biology pandemic prediction data science mathematical methods in diagnosis and therapy thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| url | ONIX_20250812T110751_9783725846474_575 |