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IMENSE: an e-infrastructure environment for patient specific multiscale data integration, modelling and clinical treatment

  • Stefan J. Zasada
    ,
  • Tao Wang
    ,
  • Ali Haidar
    ,
  • Enjie Liu
    ,
  • Norbert Graf
    ,
  • Gordon Clapworthy
Research Output:
Contribution to journal
Article
 Peer-review

Abstract

Secure access to patient data and analysis tools to run on that data will revolutionize the treatment of a wide range of diseases, by using advanced simulation techniques to underpin the clinical decision making process. To achieve these goals, suitable e-Science infrastructures are required to allow clinicians and researchers to trivially access data and launch simulations. In this paper we describe the open source Individualized MEdiciNe Simulation Environment (IMENSE), which provides a platform to securely manage clinical data, and to perform wide ranging analysis on that data, ultimately with the intention of enhancing clinical decision making with direct impact on patient health care. We motivate the design decisions taken in the development of the IMENSE system by considering the needs of researchers in the ContraCancrum project, which provides a paradigmatic case in which clinicians and researchers require coordinated access to data and simulation tools. We show how the modular nature of the IMENSE system makes it applicable to a wide range of biomedical computing scenarios, from within a single hospital to major international research projects.

Publication Information

Output type

Research Output:
Contribution to journal
Article
 Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 314-327

Journal (Volume, Issue Number)

Journal of Computational Science (Volume 3, Issue 5)

Publication milestones

  • Published - 01/09/2012

Publication status

Published - 01/09/2012

ISSN

1877-7503

Publication IDs

  • handle.net: 10547/279157
  • Scopus: 84865383682

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