Overview
- Is the first book that describes theoretical approaches to bone functional adaptation
- Provides multiscale modeling of trabecular bone remodelling and quantitative prediction of 3D hierarchical bone structure
- Helps readers to understand bone morphology and metabolism based on mathematical approaches
Part of the book series: Frontiers of Biomechanics (FB, volume 2)
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Table of contents (14 chapters)
Keywords
About this book
This book focuses on the systems biomechanics of bone remodeling that provide a multiscale platform for bone adaptation, spanning the cellular, tissue, and organ levels. The mathematical model explained in each section provides concrete examples of in silico approaches for bone adaptation. It will be immensely useful for readers interested in bone morphology and metabolism and will serve as an effective bridge connecting mechanics, cellular and molecular biology, and medical sciences. These in silico approaches towards exploring the mechanisms by which the functioning of dynamic living systems is established and maintained have potential for facilitating the efforts of graduate students and young researchers pioneering new frontiers of biomechanics.
Authors and Affiliations
Bibliographic Information
Book Title: Bone Adaptation
Book Subtitle: In Silico Approach
Authors: Yoshitaka Kameo, Ken-ichi Tsubota, Taiji Adachi
Series Title: Frontiers of Biomechanics
DOI: https://doi.org/10.1007/978-4-431-56514-7
Publisher: Springer Tokyo
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Japan KK 2018
Hardcover ISBN: 978-4-431-56512-3Published: 29 January 2018
Softcover ISBN: 978-4-431-56808-7Published: 04 June 2019
eBook ISBN: 978-4-431-56514-7Published: 10 January 2018
Series ISSN: 2199-8515
Series E-ISSN: 2199-8523
Edition Number: 1
Number of Pages: XIV, 209
Number of Illustrations: 69 b/w illustrations, 24 illustrations in colour
Topics: Biomedical Engineering and Bioengineering, Orthopedics, Physiological, Cellular and Medical Topics, Biological and Medical Physics, Biophysics, Regenerative Medicine/Tissue Engineering, Simulation and Modeling
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