Mathematics for life science and medicine
By: Takeuchi, Y.
Contributor(s): Iwasa, Y | Sato, K.
Publisher: Edinburgh Springer 2009Edition: 1st.Description: 227, 22.6*15 Pages | Binding - Paperback |.ISBN: 978-81-84892420.Subject(s): PHARMACEUTICS | PHARMACEUTICAL ARITHMETICDDC classification: 615.1401513 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.Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Text Books | School of Pharmacy Reference Section | Reference | 615.1401513 TAK.IWA (Browse shelf) | Not For Loan | B1140 | ||
Text Books | School of Pharmacy General Stacks | Circulation | 615.1401513 TAK.IWA (Browse shelf) | Available | B1141 |
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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