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.
Preface
1. An Integrative Way of Solving Bioengineering Problems
2.
Toward Predicting the Performance of Joint Arthroplasty
3. Mathematical
Modelling of Basic Multicellular Units: The Functional Units of Bone
Remodeling
4. Effect of Nonlinearity in Tensioned Wires of an External
Fixation Device
5. Viscoelasticity of Load-Bearing Soft Tissues: Constitutive
Formulation, Numerical Integration, and Computational Implementation
6.
Physical Signals and Solute Transport in Human Intervertebral Disc:
Multiphasic Mechano-Electrochemical Finite Element Analysis
7. Multiscale
Modeling of Cardiovascular Flows
8. Computational Fluid Modeling of Heart
Valves
9. Mathematical Modeling of Cancer Metastases
10. Dynamic Processes in
Photodynamic Therapy
11. Computational Cell Phenotyping in the Lab, Plant,
and Clinic
12. Molecular Simulation of ProteinSurface Interactions
13.
Structure of the Electrical Double Layers: Insights from Continuum and
Atomistic Simulations
14. A Solid-State Nanopore as Biosensor
15. DNA
Electrokinetic Translocation through a Nanopore16. Dielectrophoresis for
Bioengineering Applications and Some Associated Issues
17. Image-Based
Modeling for Bioengineering Problems
Guigen Zhang, PhD, is a professor of bioengineering and of electrical and computer engineering at Clemson University. He is the executive director of the Institute for Biological Interfaces of Engineering, a research and education/training institute designated by the South Carolina Commission on Higher Education. Prof. Zhang is also a fellow of the American Institute for Medical and Biological Engineering (AIMBE). He has published extensively in the areas of biomechanics, biomaterials, and biosensors, and he holds numerous patents in nanotechnology-enhanced structures and biosensors.
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