Librería Portfolio

Features
Takes a multi-disciplinary modeling approach to a wide spectrum of bioengineering challenges
Provides an overview of the current state of the art in topic areas with supporting case studies of real-world relevance to biomedical care
Includes images that demonstrate the commonly unseen sides of the science and engineering about our body's functions and device's operations
Illustrates the power of computational investigative approaches in the pursuit of improving the quality of life
Focuses on device and device-tissue interaction
Summary
Arguably the first book of its kind, Computational Bioengineering explores the power of multidisciplinary computer modeling in bioengineering. Written by experts, the book examines the interplay of multiple governing principles underlying common biomedical devices and problems, bolstered by case studies. It shows you how to take advantage of the latest computational capabilities to deal with biomedical problems using an integrative approach. This approach fosters an integrative problem-solving mentality for the generation of new and novel solutions to future biomedical problems.

Each chapter begins with a brief review of the advances in computational efforts in the selected topic area and ends with case studies with detailed technical information. The approach provides a relevant overview of the selected topic area and demonstrates, with case studies, the power of computational modeling in offering predictive capabilities to assess new surgical concepts and medical devices and post-operative surgical outcomes. The book illustrates the expanded capabilities of computational bioengineering through discussions of bioengineering problems and discusses an image-based bioengineering modeling technique.

Although computer modeling has been used to tackle bioengineering problems for decades, a systematic study of computational bioengineering not only addresses many critical challenges facing bioengineering but also sets a new direction for advancing the field. In a long run, this book is expected to foster an integrative problem-solving mentality that will help you generate new and novel solutions to future biomedical problems.



Table of Contents
An Integrative Way of Solving Bioengineering Problems
Guigen Zhang
Toward Predicting the Performance of Joint Arthroplasty
Clare K. Fitzpatrick, Melinda Harman, Mark A. Baldwin, Chadd W. Clary, Lorin P. Maletsky, Peter J. Laz, and Paul J. Rullkoetter
Mathematical Modelling of Basic Multicellular Units: The Functional Units of Bone Remodeling
Pascal R. Buenzli and Peter Pivonka
Effect of Nonlinearity in Tensioned Wires of an External Fixation Device
Guigen Zhang
Viscoelasticity of Load-Bearing Soft Tissues: Constitutive Formulation, Numerical Integration, and Computational Implementation
Christian M. Puttlitz, Snehal S. Shetye, and Kevin L. Troyer
Physical Signals and Solute Transport in Human Intervertebral Disc: Multiphasic Mechano-Electrochemical Finite Element Analysis
Yongren Wu, Sarah E. Cisewski, and Hai Yao
Multiscale Modeling of Cardiovascular Flows
Alison L. Marsden and Ethan Kung
Computational Fluid Modeling of Heart Valves
Manuel Salinas and Sharan Ramaswamy
Mathematical Modeling of Cancer Metastases
Marc D. Ryser and Svetlana V. Komarova
Dynamic Processes in Photodynamic Therapy
Timothy C. Zhu, Baochang Liu, and Michele M. Kim
Computational Cell Phenotyping in the Lab, Plant, and Clinic
Rahul Rekhi, David T. Ryan, Becky Zaunbrecher, Chenyue W. Hu, and Amina A. Qutub
Molecular Simulation of Protein-Surface Interactions
Xianfeng Li and Robert A. Latour
Structure of the Electrical Double Layers: Insights from Continuum and Atomistic Simulations
Guang Feng, Guoqing Hu, Rui Qiao, and Narayana R. Aluru
A Solid-State Nanopore as Biosensor
Samuel Bearden and Guigen Zhang
DNA Electrokinetic Translocation through a Nanopore
Shizhi Qian and Li-Hsien Yeh
Dielectrophoresis for Bioengineering Applications and Some Associated Issues
Yu Zhao, Vandana Pandian, Johnie Hodge, Jozef Brcka, Jacques Faguet, and Guigen Zhang
Image-Based Modeling for Bioengineering Problems
Adrienne M. Madison and Mark A. Haidekker