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The Virtual Physiological Human TOOLKIT

Cooper, J; Cervenansky, F; De Fabritiis, G; Fenner, J; Friboulet, D; Giorgino, T; Manos, S; (2010) The Virtual Physiological Human TOOLKIT. In: (Proceedings) UK e-Science All Hands Meeting. (pp. pp. 3925-3936). ROYAL SOC

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The Virtual Physiological Human (VPH) is a major European e-Science initiative intended to support the development of patient-specific computer models and their application in personalized and predictive healthcare. The VPH Network of Excellence (VPH-NoE) project is tasked with facilitating interaction between the various VPH projects and addressing issues of common concern. A key deliverable is the 'VPH TOOLKIT'-a collection of tools, methodologies and services to support and enable VPH research, integrating and extending existing work across Europe towards greater interoperability and sustainability.Owing to the diverse nature of the field, a single monolithic 'toolkit' is incapable of addressing the needs of the VPH. Rather, the VPH TOOLKIT should be considered more as a 'toolbox' of relevant technologies, interacting around a common set of standards. The latter apply to the information used by tools, including any data and the VPH models themselves, and also to the naming and categorizing of entities and concepts involved.Furthermore, the technologies and methodologies available need to be widely disseminated, and relevant tools and services easily found by researchers. The VPH-NoE has thus created an online resource for the VPH community to meet this need. It consists of a database of tools, methods and services for VPH research, with a Web front-end. This has facilities for searching the database, for adding or updating entries, and for providing user feedback on entries. Anyone is welcome to contribute.

Type: Proceedings paper
Title: The Virtual Physiological Human TOOLKIT
Event: UK e-Science All Hands Meeting
Location: Oxford, ENGLAND
Dates: 07 December 2009 - 09 December 2009
DOI: 10.1098/rsta.2010.0144
Keywords: Virtual Physiological Human, physiome, computational modelling, biomedicine, SYSTEMS BIOLOGY, IMPLEMENTATION, COLLABORATION, STANDARDS, DYNAMICS
UCL classification: UCL > School of BEAMS > Faculty of Maths and Physical Sciences
UCL > School of BEAMS > Faculty of Maths and Physical Sciences > Chemistry
URI: http://discovery.ucl.ac.uk/id/eprint/106367
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