Applications of Dynamical Systems in Biology and Medicine

Author:   Trachette Jackson ,  Ami Radunskaya
Publisher:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2015
Volume:   158
ISBN:  

9781493950089


Pages:   233
Publication Date:   15 October 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Applications of Dynamical Systems in Biology and Medicine


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Overview

This volume highlights problems from a range of biological and medical applications that can be interpreted as questions about system behavior or control. Topics include drug resistance in cancer and malaria, biological fluid dynamics, auto-regulation in the kidney, anti-coagulation therapy, evolutionary diversification and photo-transduction. Mathematical techniques used to describe and investigate these biological and medical problems include ordinary, partial and stochastic differentiation equations, hybrid discrete-continuous approaches, as well as 2 and 3D numerical simulation. 

Full Product Details

Author:   Trachette Jackson ,  Ami Radunskaya
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2015
Volume:   158
Weight:   4.262kg
ISBN:  

9781493950089


ISBN 10:   1493950088
Pages:   233
Publication Date:   15 October 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

​Anti-Cancer Drug Resistance: A Pre-existing or Emerging Phenomenon?.- Modeling Fluid Flow Induced by Bacterial Carpets.- Modeling Auto regulation in the Kidney.- Modeling Anti-coagulation Therapy.- Mathematical Modeling of Evolutionary Diversification.- Intermittent Preventative Treatment (IPT) and the Spread of Drug Resistance to Malaria.- Stochastic Modeling of the Phototransduction Cascade for Melanopsin.- Clustering in Inhibitory Neural Networks with Nearest Neighbor Coupling.- Modeling the Dynamics of REM Sleep.

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