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

Radomí­r Chabiniok | Zendy; Vicky Y. Wang | Zendy; Myrianthi Hadjicharalambous | Zendy; Liya Asner | Zendy; Jack Lee | Zendy; Maxime Sermesant | Zendy; Ellen Kuhl | Zendy; Alistair A. Young | Zendy; Philippe Moireau | Zendy; Martyn P. Nash | Zendy; Dominique Chapelle | Zendy; David Nordsletten | Zendy

Open Access

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

Author(s) -

Radomír Chabiniok,

Vicky Y. Wang,

Myrianthi Hadjicharalambous,

Liya Asner,

Jack Lee,

Maxime Sermesant,

Ellen Kuhl,

Alistair A. Young,

Philippe Moireau,

Martyn P. Nash,

Dominique Chapelle,

David Nordsletten

Publication year - 2016

Publication title -

interface focus

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.1

H-Index - 49

eISSN - 2042-8901

pISSN - 2042-8898

DOI - 10.1098/rsfs.2015.0083

Subject(s) - computer science , multiphysics , computational model , data science , data assimilation , multiscale modeling , data integration , function (biology) , artificial intelligence , bioinformatics , data mining , finite element method , physics , evolutionary biology , biology , meteorology , thermodynamics

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 function 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 modelling and how their integration with medical imaging data is providing new pathways for translational cardiac modelling.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research