Quantitative Physiology: Systems Approach

ISBN-13: 9789813340350 / Angielski / Miękka / 2022

Shangbin Chen;Alexey Zaikin

Opis

Stephen Hawking says that the 21st century will be the century of complexity and indeed now systems biology or medicine means dealing with complexity. Both the genome and physiome have emerged in studying complex physiological systems. Computational and mathematical modeling has been regarded as an efficient tool to boost the understanding about living systems in normal or pathophysiological states.Covering applied methodology, basic case studies and complex applications, this volume provides researchers with an overview of modeling and computational studies of physiology (i.e. quantitative physiology), which is becoming an increasingly important branch of systems biology.This book aims to build multi-scale models to investigate functions in living systems and explain how biomolecules, cells, organs, organ systems and organisms carry out the chemical or physical functions. Some of the models addressed are related to gene expression, calcium signalling, neural activity, blood dynamics and bone mechanics.Combining theory and practice, with extensive use of MATLAB, this book is designed to establish a paradigm for quantitative physiology by integrating biology, mathematics, physics and informatics etc. To benefit from this book, the readers are expected to have a background in general physiology and mathematics

Spis treści

Introduction of Quantitative Physiology.- Systems and Modelling.- Relevant Resources.- Modelling Gene Expression.- Bone and Body Mechanics.- Blood Dynamics.- Metabolic Network.- Systems pharmacology.- Calcium Signalling.- Modelling Neural Activity.- Cortical Spreading Depression (CSD).- Heart Physiome.- Constructing genetic intelligence.- Brain Project

O autorze

Dr. Shangbin Chen is an Associate Professor from School of Engineering Sciences, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology. He obtained his Ph.D. from Huazhong University of Science and Technology and completed his postdoc training at University of British Columbia, Canada. His research interests include neuroimaging for brain functions and connectome, computational neuroscience and artificial intelligence. He has published more than 40 research articles in these fields.

Dr. Alexey Zaikin is a Professor and Chair of Systems Medicine and Applied Mathematics, in the Institute for Women’s Health and Department of Mathematics, University College London. He is also Professor of Lobachevsky State University of Nizhny Novgorod and Sechenov University in Russia. His research interests include computational and systems medicine, theoretical biophysics and nonlinear dynamics and stochastic modelling in biology. He has published more than 135 articles in these fields.