Mathematics for life science and medicine

By:

Takeuchi, Y

Contributor(s):

Language: ENG Publication details: Edinburgh Springer 2009Edition: 1stDescription: 227, 22.6*15 Pages | Binding - Paperback |ISBN:

978-81-84892420

Subject(s):

DDC classification:

615.1401513 TAK.IWA DDC23

Online resources:

Click here to access online

Summary: Dynamical systems theory in mathematical biology has attracted much attention from many scientific directions. The purpose of this volume is to present and discuss the many rich properties of the dynamical systems that appear in life science and medicine. The main topics include cancer treatment, dynamics of paroxysmal tachycardia, vector disease model, epidemic diseases and metapopulations, immune systems, pathogen competition and coexistence and the evolution of virulence and the rapid evolution of viruses within a host. Each chapter will serve to introduce students and scholars to the state-of-the-art in an exciting area, to present new results, and to inspire future contributions to mathematical modeling in life science and medicine.

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
Books	School of Pharmacy Reference Section	Reference	615.1401513 TAK.IWA (Browse shelf(Opens below))	Not For Loan	B1140
Books	School of Pharmacy General Stacks	Circulation	615.1401513 TAK.IWA (Browse shelf(Opens below))	Available	B1141

Total holds: 0

Dynamical systems theory in mathematical biology has attracted much attention from many scientific directions. The purpose of this volume is to present and discuss the many rich properties of the dynamical systems that appear in life science and medicine. The main topics include cancer treatment, dynamics of paroxysmal tachycardia, vector disease model, epidemic diseases and metapopulations, immune systems, pathogen competition and coexistence and the evolution of virulence and the rapid evolution of viruses within a host. Each chapter will serve to introduce students and scholars to the state-of-the-art in an exciting area, to present new results, and to inspire future contributions to mathematical modeling in life science and medicine.

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