Digital human modelling: A global vision and a european perspective

Gordon J. Clapworthy, Peter Kohl, Hans Gregerson, S. R. Thomas, Marco Viceconti, D. R. Hose, D. Pinney, John Fenner, K. McCormack, P. Lawford, S. Van Sint Jan, S. Waters, P. Coveney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Physiome is an umbrella term that refers to human modelling with mathematics and computational methods, accommodating cross-disciplinary science (chemistry, biology, physics) and a breadth of dimensional and temporal scale (sub-cellular to organs, sub-microsecond to tens-of-years). The Virtual Physiological Human is a European initiative that is intended to provide a unifying architecture for the integration and cooperation of multi-scale physiome models, thereby creating a predictive platform for the description of human beings in silico. Unlike the Genome, the challenge of the Physiome may be almost unbounded, as the desire for increased detail imposes a continuing pressure for ever-finer data granularity, and the necessary Information Technology (IT) infrastructure spawns innovations that surpass conventional solutions. It is foreseen that maturing physiome activities will increasingly influence medicine, biomedical research and commercial developments, and the central role of IT highlights the need for a specific and robust IT infrastructure. The European Commission has experience of supporting challenging technical endeavours through its Framework Programmes of research, and in the forthcoming 7th Framework Programme, it will invite researchers from within and outside Europe to unite in seeking solutions to key issues of the Physiome. The Virtual Physiological Human (VPH) investment programme will establish the necessary infrastructure and address the grand technical challenges identified by experts. This paper examines the background to the strategy and the ways in which the programme's structure has been determined.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages549-558
Number of pages10
Volume4561 LNCS
Publication statusPublished - 2007
Event1st International Conference on Digital Human Modeling, ICDHM 2007 - Beijing, China
Duration: Jul 22 2007Jul 27 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4561 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other1st International Conference on Digital Human Modeling, ICDHM 2007
CountryChina
CityBeijing
Period7/22/077/27/07

Keywords

  • Infrastructure
  • Modelling
  • Physiome
  • Virtual physiological human

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

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