Overview
- Contains original papers reflecting topics from the international symposium “Fusion of Mathematics and Biology”
- Presents methods of applying mathematical modeling to scientific problems in the natural sciences
- Includes novel reviews that can lead many mathematicians to become interested in biological research
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 370)
Included in the following conference series:
Conference proceedings info: MMDS 2020.
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About this book
This book presents original papers reflecting topics featured at the international symposium entitled “Fusion of Mathematics and Biology” and organized by the editor of the book. The symposium, held in October 2020 at Osaka University in Japan, was the core event for the final year of the research project entitled “Establishing International Research Networks of Mathematical Oncology.” The project had been carried out since April 2015 as part of the Core-to-Core Program of Japan Society for the Promotion of Science (JSPS). In this book, the editor presents collaborative research from prestigious organizations in France, the UK, and the USA. By utilizing their individual strengths and realizing the fusion of life science and mathematical science, the project achieved a combination of mathematical analysis, verification by biomedical experiments, and statistical analysis of chemical databases.
Mathematics is sometimes regarded as a universal language. It is a valuable property that everyone can understand beyond the boundaries of culture, religion, and language. This unifying force of mathematics also applies to the various fields of science. Mathematical oncology has two aspects, i.e., data science and mathematical modeling, and definitely helps in the prediction and control of biological phenomena observed in cancer evolution.
The topics addressed in this book represent several methods of applying mathematical modeling to scientific problems in the natural sciences. Furthermore, novel reviews are included that may motivate many mathematicians to become interested in biological research.
Mathematics is sometimes regarded as a universal language. It is a valuable property that everyone can understand beyond the boundaries of culture, religion, and language. This unifying force of mathematics also applies to the various fields of science. Mathematical oncology has two aspects, i.e., data science and mathematical modeling, and definitely helps in the prediction and control of biological phenomena observed in cancer evolution.
The topics addressed in this book represent several methods of applying mathematical modeling to scientific problems in the natural sciences. Furthermore, novel reviews are included that may motivate many mathematicians to become interested in biological research.
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Table of contents (22 papers)
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Front Matter
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Mathematical Modeling
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Front Matter
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Biological Prediction
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Front Matter
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Other volumes
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Methods of Mathematical Oncology
Editors and Affiliations
Accessibility Information
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Bibliographic Information
Book Title: Methods of Mathematical Oncology
Book Subtitle: Fusion of Mathematics and Biology, Osaka, Japan, October 26–28, 2020
Editors: Takashi Suzuki, Clair Poignard, Mark Chaplain, Vito Quaranta
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-981-16-4866-3
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-16-4865-6Published: 22 August 2021
Softcover ISBN: 978-981-16-4868-7Published: 23 August 2022
eBook ISBN: 978-981-16-4866-3Published: 21 August 2021
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: XII, 308
Number of Illustrations: 17 b/w illustrations, 92 illustrations in colour
Topics: Mathematical Models of Cognitive Processes and Neural Networks, Mathematical Modeling and Industrial Mathematics, Partial Differential Equations