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High-throughput cardiac science on the Grid.

David Abramson1, Miguel O Bernabeu, Blair Bethwaite

  • 1Faculty of Information Technology, Monash University, Caulfield East, Melbourne, Victoria 3145, Australia. david.abramson@infotech.monash.edu.au

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|July 21, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces Nimrod, a parametric modeling toolkit for cardiac electrophysiology. Nimrod aids in exploring and optimizing cardiac models, leveraging Grid computing for accelerated research.

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Area of Science:

  • Cardiac electrophysiology
  • Computational biology
  • Biophysics

Background:

  • Cardiac electrophysiology modeling has evolved significantly since 1962.
  • Current models span from single ion channels to whole ventricles.
  • A key challenge is parameter selection to avoid model over-fitting.

Purpose of the Study:

  • To present the Nimrod parametric modeling toolkit.
  • To demonstrate Nimrod's capability in exploring and optimizing cardiac models.
  • To showcase the application of Nimrod in cardiac electrophysiology research.

Main Methods:

  • Utilizing the Nimrod parametric modeling toolkit.
  • Exploring model behavior through parameter variation.
  • Optimizing model output for parameter tuning.
  • Leveraging Grid computing for accelerated simulations.

Main Results:

  • Nimrod facilitates exploration of model behavior with parameter changes.
  • Nimrod enables parameter tuning through output optimization.
  • Grid computing accelerates computational experiments using Nimrod.
  • Successful application of Nimrod in cardiac tissue and cellular models.

Conclusions:

  • Nimrod is a valuable tool for cardiac electrophysiology modeling.
  • The toolkit aids in parameter selection and model validation.
  • Grid-enabled Nimrod enhances the efficiency of computational cardiac research.