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Computational Biomedicine

Modelling the Human Body
TaschenbuchKartoniert, Paperback
296 Seiten
Englisch
Oxford University Presserschienen am12.06.2014
Computational Biomedicine unifies the different strands of a broad-ranging subject to demonstrate the power of a tool that has the potential to revolutionise our understanding of the human body, and the therapeutic strategies available to maintain and protect it.mehr

Produkt

KlappentextComputational Biomedicine unifies the different strands of a broad-ranging subject to demonstrate the power of a tool that has the potential to revolutionise our understanding of the human body, and the therapeutic strategies available to maintain and protect it.
Details
ISBN/GTIN978-0-19-965818-3
ProduktartTaschenbuch
EinbandartKartoniert, Paperback
FormatTrade Paperback (USA)
Erscheinungsjahr2014
Erscheinungsdatum12.06.2014
Seiten296 Seiten
SpracheEnglisch
MasseBreite 195 mm, Höhe 264 mm, Dicke 15 mm
Gewicht626 g
Artikel-Nr.31505853
Rubriken
GenreMedizin

Inhalt/Kritik

Inhaltsverzeichnis
1. Introduction ; 2. Molecular Foundations of Computational Bioscience ; 2.1 Introduction ; 2.2 Types of Omics Data ; 2.3 Databases and Data Sources ; 2.4 Management of Omics Data Types ; 2.5 Software Systems and Interoperability ; 2.6 Clinical Phenotypes, Security and Data Sharing ; 2.7 Conclusions ; 3. Understanding the Genotype-Phenotype Relationship ; 3.1 Introduction ; 3.2 Quantitative Genetics Theory ; 3.3 Systems Genetics ; 3.4 Implementing CGP Models ; 3.5 CGP Applications ; 3.6 Linking CGP Models to Data ; 3.7 Conclusions ; 4. Image Based Modelling ; 4.1 Introduction ; 4.2 Biomedical Imaging Techniques ; 4.3 Image Based Modelling ; 4.4 Medical Image Simulation ; 4.5 Statistical Atlases, Populational Imaging and Modelling ; 4.6 Open Source Image Modelling Tools ; 4.7 Conclusions ; 5. Modelling Cell Function ; 5.1 Introduction ; 5.2 General Cell Functions ; 5.3 Cell Fundamentals ; 5.4 Levels of Abstraction ; 5.5 Cell Simulation ; 5.6 Approaches to Modelling and Simulation ; 5.7 Simulation Tools ; 5.8 Example: An Agent Model in Skeletal Mechanobiology ; 5.9 Reproducible Modelling: Ordinary Differential Equations ; 5.10 Conclusions ; 6. Modelling Tissues and Organs ; 6.1 Introduction ; 6.2 Modelling Epithelia ; 6.3 Cardiac Modelling ; 6.4 Modelling the Gastro-Intestinal Tract ; 6.5 Modelling Kidney Function and Homeostasis ; 6.6 General Homeostasis and Blood Pressure Regulation ; 6.7 Conclusions ; 7. Multi-Scale Modelling ; 7.1 Introduction ; 7.2 Why Multi-Scale Modelling? ; 7.3 A Framework for Multi-Scale Modelling and Computing ; 7.4 Scale Bridging ; 7.5 Multi-Scale Computing ; 7.6 Example of a Multiscale Model: In-Stent Restenosis in Coronary Arteries ; 7.7 Conclusions ; 8. Workflows: Principles, Tools and Clinical Applications ; 8.1 Introduction: What is a Workflow? ; 8.2 Computational Workflows ; 8.3 Workflow Implementations ; 8.4 Provenance ; 8.5 Examples of Scientific Workflows ; 8.6 Key Considerations ; 8.7 Conclusions ; 9. Distributed Biomedical Computing ; 9.1 Introduction ; 9.2 Parallel Applications ; 9.3 The Computational Ecosystem ; 9.4 Computing Beyond the Desktop ; 9.5 Simulations in a High Performance Computing Environment ; 9.6 Case Study 1: Calculating Drug Binding Affinities ; 9.7 Computational Infrastructures ; 9.8 Distributed Applications ; 9.9 Orchestrated Workflows from Distributed Applications ; 9.10 Case Study 2: Computational Investigations of Cranial Haemodynamics ; 9.11 Conclusions ; 10. Managing Security and Privacy of Patient Data Sharing Platforms ; 10.1 Introduction ; 10.2 Legal Background ; 10.3 Brief Overview of Information Security Concepts ; 10.4 Common Data Sharing Requirements ; 10.5 The Data Sharing Lifecycle ; 10.6 Data Warehousing Architecture ; 10.7 Conclusions ; 11. Toward Clinical Deployment: Verification and Validation of Models ; 11.1 Introduction: Technology Assessment versus Health Assessment ; 11.2 Code and Model Verification ; 11.3 Sensitivity Analysis ; 11.4 Model Validation ; 11.5 Validation of Integrative Models ; 11.6 Clinical Accuracy ; 11.7 Efficacy, Risk and Cost-Benefit ; 11.8 Impact ; 11.9 Sustainability ; 11.10 Conclusions ; Appendix: Modelling Standards and Model Repositories ; A.1 Introduction ; A.2 Infrastructure for Computational Biomedicine ; A.3 Syntax, Semantics and Annotation of Models ; A.4 Markup Languages ; A.5 Model Repositories ; A.6 Conclusionsmehr

Autor

Professor Peter Coveney, Centre for Computational Science, University College London


Dr Vanessa Díaz-Zuccarini, Department of Mechanical Engineering, University College London



Professor Peter Hunter, Auckland Bioengineering Institute, New Zealand


Professor Marco Viceconti, Department of Mechanical Engineering , The University of Sheffield