Methods Of Mathematical Oncology

Download Methods Of Mathematical Oncology full books in PDF, epub, and Kindle. Read online free Methods Of Mathematical Oncology ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Methods of Mathematical Oncology

Methods of Mathematical Oncology
Author :
Publisher : Springer Nature
Total Pages : 308
Release :
ISBN-10 : 9789811648663
ISBN-13 : 9811648662
Rating : 4/5 (662 Downloads)

Book Synopsis Methods of Mathematical Oncology by : Takashi Suzuki

Download or read book Methods of Mathematical Oncology written by Takashi Suzuki and published by Springer Nature. This book was released on 2021-08-21 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Methods of Mathematical Oncology Related Books

Methods of Mathematical Oncology
Language: en
Pages: 308
Authors: Takashi Suzuki
Categories: Mathematics
Type: BOOK - Published: 2021-08-21 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book presents original papers reflecting topics featured at the international symposium entitled “Fusion of Mathematics and Biology” and organized by t
Introduction to Mathematical Oncology
Language: en
Pages: 469
Authors: Yang Kuang
Categories: Mathematics
Type: BOOK - Published: 2016-04-05 - Publisher: CRC Press

DOWNLOAD EBOOK

Introduction to Mathematical Oncology presents biologically well-motivated and mathematically tractable models that facilitate both a deep understanding of canc
Mathematical and Computational Oncology
Language: en
Pages: 91
Authors: George Bebis
Categories: Computers
Type: BOOK - Published: 2021-12-11 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the Third International Symposium on Mathematical and Computational Oncology, ISMCO 2021, held in October 2021
Optimal Control for Mathematical Models of Cancer Therapies
Language: en
Pages: 511
Authors: Heinz Schättler
Categories: Mathematics
Type: BOOK - Published: 2015-09-15 - Publisher: Springer

DOWNLOAD EBOOK

This book presents applications of geometric optimal control to real life biomedical problems with an emphasis on cancer treatments. A number of mathematical mo
Dynamics Of Cancer: Mathematical Foundations Of Oncology
Language: en
Pages: 533
Authors: Dominik Wodarz
Categories: Mathematics
Type: BOOK - Published: 2014-04-24 - Publisher: World Scientific

DOWNLOAD EBOOK

The book aims to provide an introduction to mathematical models that describe the dynamics of tumor growth and the evolution of tumor cells. It can be used as a