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Viser: Computational Biomedicine
Computational Biomedicine
Peter Coveney, Vanessa Diaz, Peter Hunter og Marco Viceconti
(2014)
Sprog: Engelsk
om ca. 10 hverdage
Detaljer om varen
- Undefined: 432 sider
- Udgiver: Oxford University Press (Juni 2014)
- Forfattere: Peter Coveney, Vanessa Diaz, Peter Hunter og Marco Viceconti
- ISBN: 9780199658183
Computational Biomedicine lays the foundations for a new approach to the subject - one that unifies the different strands of a broad-ranging subject, and demonstrates how computational biomedicine is a powerful tool with the potential to revolutionise our understanding of the human body, and the therapeutic strategies available to maintain and protect it.
Written by a team of world-leading experts in the field, it explores the modelling of physiological systems at different scales - cells, tissues, organs - before considering the issues around biomedical computing, and data collection and analysis. It emphasises how a theoretical understanding of computational biomedicine translates into practice, with illustrative examples and case studies used throughout.
Computational Biomedicine is the perfect introduction to the subject for anyone new to the field, from student to researcher.
Online Resource Centre
The Online Resource Centre to accompany Computational Biomedicine features figures from the book in electronic format, for download by registered adopters.
1: Calculating Drug Binding Affinities9.7 Computational Infrastructures9.8 Distributed Applications9.9 Orchestrated Workflows from Distributed Applications9.10 Case Study
2: Computational Investigations of Cranial Haemodynamics9.11 Conclusions10. Managing Security and Privacy of Patient Data Sharing Platforms10.1 Introduction10.2 Legal Background10.3 Brief Overview of Information Security Concepts10.4 Common Data Sharing Requirements10.5 The Data Sharing Lifecycle10.6 Data Warehousing Architecture10.7 Conclusions11. Toward Clinical Deployment: Verification and Validation of Models11.1 Introduction: Technology Assessment versus Health Assessment11.2 Code and Model Verification11.3 Sensitivity Analysis11.4 Model Validation11.5 Validation of Integrative Models11.6 Clinical Accuracy11.7 Efficacy, Risk and Cost-Benefit11.8 Impact11.9 Sustainability11.10 ConclusionsAppendix: Modelling Standards and Model RepositoriesA.1 IntroductionA.2 Infrastructure for Computational BiomedicineA.3 Syntax, Semantics and Annotation of ModelsA.4 Markup LanguagesA.5 Model RepositoriesA.6 Conclusions