AMS Bookstore LOGO amslogo
Return to List  Item: 1 of 1   
Mathematics, Developmental Biology and Tumour Growth
Edited by: Fernando Giráldez, Universitat Pompeu Fabra, Barcelona, Spain, and Miguel A. Herrero, Universidad Complutense, Madrid, Spain

Contemporary Mathematics
2009; 123 pp; softcover
Volume: 492
ISBN-10: 0-8218-4663-9
ISBN-13: 978-0-8218-4663-6
List Price: US$52
Member Price: US$41.60
Order Code: CONM/492
[Add Item]

Request Permissions

See also:

New Perspectives in Mathematical Biology - Siv Sivaloganathan

Developmental biology and tumour growth are two important areas of current research where mathematics increasingly provides powerful new techniques and insights. The unfolding complexity of living structures from egg to embryo gives rise to a number of difficult quantitative problems that are ripe for mathematical models and analysis. Understanding this early development process involves the study of pattern formation, which mathematicians view through the lens of dynamical systems. This book addresses several issues in developmental biology, including Notch signalling pathway integration and mesenchymal compartment formation.

Tumour growth is one of the primary challenges of cancer research. Its study requires interdisciplinary approaches involving the close collaboration of mathematicians, biologists and physicians. The summer school addressed angiogenesis, modelling issues arising in radiotherapy, and tumour growth viewed from the individual cell and the relation to a multiphase-fluid flow picture of that process.

This book is suitable for researchers, graduate students, and advanced undergraduates interested in mathematical methods of developmental biology or tumour growth.

This book is published in cooperation with Real Sociedad Matemática Española (RSME).


Advanced undergraduate students, graduate students, and research mathematicians interested in the mathematical methods of developmental biology.

Powered by MathJax
Return to List  Item: 1 of 1   

  AMS Home | Comments:
© Copyright 2014, American Mathematical Society
Privacy Statement

AMS Social

AMS and Social Media LinkedIn Facebook Podcasts Twitter YouTube RSS Feeds Blogs Wikipedia