Computational Bioengineering

"... an excellent overview of state-of-the-art methods developed to approach complex cardiovascular problems. It provides a way to model the integrative physiology aspects of the circulatory system – an aspect necessary when dealing with "patient specific" modeling."
―Lakshmi Prasad Dasi, Colorado State University

"... very well written ... large range of computation modeling approaches discussed in the book and that have been developed to address a broad spectrum of problems in the field of bioengineering."
―Sundar Srinivasan, University of Washington

"... presents a timely and interactive compilation of work in the forefronts of computational bioengineering. ... ideal for the use in both research and training; it will benefit and bringer closer the scientific computation and bioengineering communities."
―Hao Lin, Rutgers, The State University of New Jersey

Zhang (Clemson Univ.) has compiled writings from a long list of contributors in this 17-chapter volume. The book presents a range of examples of modern computational bioengineering topics in areas such as the cardiovascular and skeletomuscular systems, and transport phenomena and mechanics that lend themselves well to quantitative analysis. The work bridges multiple scales, from nanopores and matrix microstructure to whole organ systems. Each chapter starts with the biological background of the topic, followed by the theoretical underpinnings and then a description of a computational model, along with some representative results and often some comparison with experimental data. The chapters range in focus from basic physiology to more clinically applied biomedical topics, which will be particularly interesting to biomedical engineering students. Readers will not necessarily take away from this book the ability to implement any of these modern computational techniques, but they will gain an increased awareness of the breadth of computational bioengineering research, and a wealth of appropriate references are provided where readers can learn more. The data graphs and schematics in both gray scale and color are easy to read and informative. The book is appropriate for advanced students and postgraduate practitioners new to bioengineering.
―CHOICE, June 2016 Issue