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Multiphysics and multiscale modelling, data–model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics

Research output: Contribution to journalArticlepeer-review

Radomir Chabiniok, Vicky Wang, Myrianthi Hadjicharalambous, Liya Asner, Chul Joo Lee, Maxime Sermesant, Ellen Kuhl, Alistair Young, Philippe Moireau, Martyn Nash, Dominique Chapelle, David Nordsletten

Original languageEnglish
Number of pages24
JournalInterface Focus
Issue number2
Published19 Feb 2016


  • 20150083.full

    20150083.full.pdf, 1.7 MB, application/pdf

    Uploaded date:03 Mar 2016

    Version:Final published version

    Licence:CC BY

King's Authors


With heart and cardiovascular diseases continually challenging healthcare systems worldwide, translating basic research on cardiac (patho)physiology into clinical care is essential. Exacerbating this already extensive challenge is the complexity of the heart, relying on its hierarchical structure and func- tion to maintain cardiovascular flow. Computational modelling has been proposed and actively pursued as a tool for accelerating research and translation. Allowing exploration of the relationships between physics, multiscale mechanisms and function, computational modelling provides a platform for improving our understanding of the heart. Further integration of experimental and clinical data through data assimilation and parameter estimation techniques is bringing computational models closer to use in routine clinical practice. This article reviews developments in computational cardiac model- ling and how their integration with medical imaging data is providing new pathways for translational cardiac modelling.

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