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 proposed Special Issue in AoIS will present studies from leading researchers and practitioners focusing on current challenges, directions, trends, and opportunities associated with healthcare organizations and their strategic use of Web-enabled technologies. Healthcare and biomedical organizations are undergoing major transformations to meet the demand for improved access and quality of service, and modern information technologies are helping to process and manage the growing wealth of data involved. Web-based applications offer a sharp increase in data access and management, and they are at the forefront of the broad field of medical informatics.

Description: Motion processing is an essential piece of the complex brain machinery that allows us to reconstruct the 3D layout of objects in the environment, to break camouflage, to perform scene segmentation, to estimate the ego movement, and to control our action. Although motion perception and its neural basis have been a topic of intensive research and modeling the last two decades, recent experimental evidences have stressed the dynamical aspects of motion integration and segmentation. This book presents the most recent approaches that have changed our view of biological motion processing. These new experimental evidences call for new models emphasizing the collective dynamics of large population of neurons rather than the properties of separate individual filters. Chapters will stress how the dynamics of motion processing can be used as a general approach to understand the brain dynamics itself.

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: Introduction to Computational Cardiology provides a comprehensive, in-depth treatment of the fundamental concepts and research challenges involved in the mathematical modeling and computer simulation of dynamical processes in the heart, under normal and pathological conditions. This book is based on the author's lecture notes from his course 'Introduction to Computational Cardiology' in the Department of Computer Science within the University of California, Los Angeles. It also encompasses the scientific discoveries made by the author, his doctoral students, and his colleagues in the U.S.A. and U.S.S.R. in the last 35 years.

Description: This book is about the development of knowledge-based, and related, expert systems in chemistry and toxicology. It shows how computers can work with qualitative information where precise numerical methods are not satisfactory. As well as explaining to a reader with a knowledge of chemistry how the computer programs work, the book provides insights into how personal and political factors influence scientific progress. It provides an understanding of how predictions and judgments are being made without depending on numerical methods. It provides an excellent introduction to an exciting area of computing in chemistry which is rapidly gaining importance.

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: Integrated bioinformatics solutions have become increasingly valuable in past years, as technological advances have allowed researchers to consider the potential of omics for clinical diagnosis, prognosis, and therapeutic purposes, and as the costs of such techniques have begun to lessen. In Bioinformatics Methods in Clinical Research, experts examine the latest developments impacting clinical omics, and describe in great detail the algorithms that are currently used in publicly available software tools.

Description: Research into the 3D Physiological Human is a very active field focusing on the creation of patient-specific computer models for personalised healthcare. Reporting on how these models can simulate and provide a better understanding of human physiology and pathology, this book also looks at how the evolution and the improvement of technological devices such as scanners, medical instruments, and computer power have helped in our understanding of the human body and its functionalities.

Description: Due to the tremendous accumulation of data for genetic markers, pharmacogenomics, the study of the functions and interactions of all genes in the overall variability of drug response, is one of the hottest areas of research in biomedical science. Statistical and Computational Pharmacogenomics presents recent developments in statistical methodology with a number of detailed worked examples that outline how these methods can be applied. This comprehensive volume provides key tools needed to understand and model the genetic variation for drug response and equips statisticians with a thorough understanding of this complex field and how computational skills can be employed.