Introduction to Mathematical Oncology: Chapman & Hall/CRC Mathematical Biology Series

Mathematical oncology is a rapidly growing field that uses mathematical modeling to understand the complex dynamics of cancer. This book provides a comprehensive to the field, covering a wide range of topics, from the basic principles of cancer biology to the most recent advances in mathematical modeling.

Introduction to Mathematical Oncology (Chapman & Hall/CRC Mathematical Biology Series)

by Yang Kuang

5 out of 5

Language	:	English
File size	:	237326 KB
Screen Reader	:	Supported
Print length	:	490 pages

FREE

The book is written by a team of leading experts in the field, and it is designed to be accessible to both mathematicians and biologists. The text is full of clear explanations, detailed examples, and real-world applications.

What is Mathematical Oncology?

Mathematical oncology is the study of cancer using mathematical models. These models can be used to understand the growth of tumors, the spread of cancer cells, and the effects of cancer therapy.

Mathematical models can be used to:

* Predict the growth of tumors * Understand the spread of cancer cells * Evaluate the effects of cancer therapy * Design new cancer treatments

Applications of Mathematical Oncology

Mathematical oncology has been used to make significant contributions to the understanding of cancer. Some of the most important applications of mathematical oncology include:

* The development of new cancer treatments * The design of more effective clinical trials * The prediction of the outcomes of cancer patients

Mathematical oncology is a rapidly growing field that has the potential to make a significant impact on the fight against cancer. This book provides a comprehensive to the field, and it is an essential resource for anyone who wants to learn more about mathematical oncology.

Table of Contents

1. to Mathematical Oncology
2. Cancer Biology
3. Mathematical Models of Tumor Growth
4. Mathematical Models of Angiogenesis
5. Mathematical Models of Tumor Invasion
6. Mathematical Models of Metastasis
7. Mathematical Models of Cancer Therapy
8. Applications of Mathematical Oncology
9. Future Directions in Mathematical Oncology

References

1. Anderson, A. R. A., & Chaplain, M. A. J. (2018). Mathematical Oncology: Foundation of Cancer Modeling and Cancer Systems Biology. Chapman & Hall/CRC Mathematical Biology Series.
2. Bellomo, N., & Chaplain, M. A. J. (2019). On Multiscale Modeling of Cancer. Chapman & Hall/CRC Mathematical Biology Series.
3. Byrne, H. M. (2016). Mathematical Modeling in Cancer. CRC Press.
4. Gatenby, R. A., & Gillies, R. J. (2018). Quantitative Cancer Models. Cambridge University Press.
5. Hanahan, D., & Weinberg, R. A. (2011). Hallmarks of Cancer: The Next Generation. Cell, 144(5),646-674.

Introduction to Mathematical Oncology (Chapman & Hall/CRC Mathematical Biology Series)

by Yang Kuang

5 out of 5

Language	:	English
File size	:	237326 KB
Screen Reader	:	Supported
Print length	:	490 pages

FREE