Computational bioengineering and bioinformatics : computer modelling in bioengineering
Author(s)
Bibliographic Information
Computational bioengineering and bioinformatics : computer modelling in bioengineering
（Learning and analytics in intelligent systems, v. 11）
Springer, c2020
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
This book explores the latest and most relevant topics in the field of computational bioengineering and bioinformatics, with a particular focus on patient-specific, disease-progression modeling. It covers computational methods for cardiovascular disease prediction, with an emphasis on biomechanics, biomedical decision support systems, data mining, personalized diagnostics, bio-signal processing, protein structure prediction, biomedical image processing, analysis and visualization, and high-performance computing. It also discusses state-of-the-art tools for disease characterization, and recent advances in areas such as biomechanics, cardiovascular engineering, patient-specific modeling, population-based modeling, multiscale modeling, image processing, data mining, biomedical decision-support systems, signal processing, biomaterials and dental biomechanics, tissue and cell engineering, computational chemistry and high-performance computing. As such, it is a valuable resource for researchers, medical and bioengineering students, and medical device and software experts
Table of Contents
Chapter 1: Tuning Cooperativity of Calcium Activation in Cardiac Muscle.- Chapter 2: Application of Composite Smeared Finite Element Model in Drug Delivery inside Organs.- Chapter 3: Role of atomic and molecular non-observable properties in the understanding and description of real observables of the chemical systems.- Chapter 4: Effect of hip implant surface modification on shear stress distribution.- Chapter 5: Medical Image Processing using Xilinx System Generator.- Chapter 6: Computer Assisted Analysis of the Hepatic Spheroid Formation.
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