Overview
- Presents the proceedings of the VIII International Conference on Computational Bioengineering (ICCB2019), held in Belgrade, Serbia, on September 4–6, 2019
- Discusses advances in the field of computational bioengineering
- Includes computational methods for cardiovascular disease prediction with a focus on biomechanics, biomedical decision-support systems, data mining, personalized diagnostics, bio-signal processing, protein structure prediction, biomedical image processing, analysis and visualization, high-performance computing and nanomedicine
Part of the book series: Learning and Analytics in Intelligent Systems (LAIS, volume 11)
Included in the following conference series:
Conference proceedings info: ICCB 2019.
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Table of contents (15 papers)
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Front Matter
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Back Matter
Other volumes
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Computational Bioengineering and Bioinformatics
Keywords
- Biomechanics
- Cardiovascular Engineering
- Patient Specific Modelling
- Population Based Modelling
- Multiscale Modelling
- Molecular Dynamics
- Dissipative Particle Dynamics
- Data Mining Application in Medicine
- Neural Engineering
- Biomedical Decision Support System
- Gene Expression Analysis and Engineering
- Signal Processing and Data Mining
- Biomaterials and Dental Biomechanics
- Nanomedicine
- Tissue and Cell Engineering
- Computational Chemistry
- High Performance Computing
- Sports Bioengineering
- ICCB2019
- ICCB
About this book
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
Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Computational Bioengineering and Bioinformatics
Book Subtitle: Computer Modelling in Bioengineering
Editors: Nenad Filipovic
Series Title: Learning and Analytics in Intelligent Systems
DOI: https://doi.org/10.1007/978-3-030-43658-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-43657-5Published: 12 March 2020
Softcover ISBN: 978-3-030-43660-5Published: 12 March 2021
eBook ISBN: 978-3-030-43658-2Published: 11 March 2020
Series ISSN: 2662-3447
Series E-ISSN: 2662-3455
Edition Number: 1
Number of Pages: VI, 169
Number of Illustrations: 13 b/w illustrations, 86 illustrations in colour
Topics: Biomedical Engineering and Bioengineering, Computational Intelligence