Description: Computational Cardiovascular Mechanics provides a cohesive guide to creating mathematical models for the mechanics of diseased hearts to simulate the effects of current treatments for heart failure. Clearly organized in a two part structure, this volume discusses various areas of computational modeling of cardiovascular mechanics (finite element modeling of ventricular mechanics, fluid dynamics) in addition to a description an analysis of the current applications used (solid FE modeling, CFD).

Edited by experts in the field, researchers involved with biomedical and mechanical engineering will find Computational Cardiovascular Mechanics a valuable reference.

Description: This book is the first to be dedicated to the bioinformatics of carbohydrates and glycoproteins. It provides an introduction to this emerging field of science both for the experimentalist working in glycobiology and glycomics, and also for the computer scientist looking for background information for the development of highly sophisticated algorithmic approaches. The book provides an overview of the state-of-the-art in the field, with reviews on databases, and the tools in use for analysis, interpretation, and prediction of the structures of complex carbohydrates, and demonstrates the value of bioinformatics for glycobiology.

Description: Medical Imaging Informatics provides an overview of this growing discipline, which stems from an intersection of biomedical informatics, medical imaging, computer science and medicine. Supporting two complementary views, this volume explores the fundamental technologies and algorithms that comprise this field, as well as the application of medical imaging informatics to subsequently improve healthcare research. Clearly written in a four part structure, this introduction follows natural healthcare processes, illustrating the roles of data collection and standardization, context extraction and modeling, and medical decision making tools and applications.

Description: Focusing on genetic regulatory networks, Engineering Genetic Circuits presents the modeling, analysis, and design methods for systems biology. It discusses how to examine experimental data to learn about mathematical models, develop efficient abstraction and simulation methods to analyze these models, and use analytical methods to guide the design of new circuits.

After reviewing the basic molecular biology and biochemistry principles needed to understand genetic circuits, the book describes modern experimental techniques and methods for discovering genetic circuit models from the data generated by experiments. The next four chapters present state-of-the-art methods for analyzing these genetic circuit models. The final chapter explores how researchers are beginning to use analytical methods to design synthetic genetic circuits.

Description: Automatic biometrics recognition techniques are becoming increasingly important in corporate and public security systems and have increased in methods due to rapid field development. Behavioral Biometrics for Human Identification: Intelligent Applications discusses classic behavioral biometrics as well as collects the latest advances in techniques, theoretical approaches, and dynamic applications. A critical mass of research, this innovative collection serves as an important reference tool for researchers, practitioners, academicians, and technologists.

Description: The practice of modern medicine requires sophisticated information technologies with which to manage patient information, plan diagnostic procedures, interpret laboratory results, and conduct research. This book, inspired by a Stanford University training program developed to introduce health professionals to computer applications in modern medical care, fills the need for a high quality text in computers and medicine, and meets the growing demand by practitioners, researchers, and students for a comprehensive introduction to key topics in the field.

Description: VLSI (very large scale integration) is the process of creating integrated circuits by combining thousands of transistor based circuits into a single chip. Written by top-notch international experts in industry and academia, this groundbreaking resource presents a comprehensive, state-of-the-art overview of VLSI circuit design for a wide range of applications in biology and medicine.

Description: This groundbreaking resource on biomedical informatics gives you step-by-step insight into innovative techniques for integrating and federating data from clinical and high-throughput molecular study platforms as well as from the public domain. It details how to apply computational and statistical technologies to clinical, genomic, and proteomic studies to enhance data collection, tracking, storage, visualization, analysis, and knowledge discovery processes, and to translate knowledge from "bench to bedside" and "bedside to bench" with never-before efficiency.

Description: This volume presents a collection of papers dealing with various aspects of clustering in biological networks and other related problems in computational biology. It consists of two parts, with the first part containing surveys of selected topics and the second part presenting original research contributions. This book will be a valuable source of material to faculty, students, and researchers in mathematical programming, data analysis and data mining, as well as people working in bioinformatics, computer science, engineering, and applied mathematics. In addition, the book can be used as a supplement to any course in data mining or computational/systems biology.

Description: Biomedical imaging enables physicians to evaluate areas of the body not normally visible, helping to diagnose and examine disease in patients.

The Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications includes recent state-of-the-art methodologies that introduce biomedical imaging in decision support systems and their applications in clinical practice. This Handbook of Research provides readers with an overview of the emerging field of image-guided medical and biological decision support, bringing together various research studies and highlighting future trends.