Hill, Adam P and Perry, Matthew D and Abi-Gerges, Najah and Couderc, Jean-Philippe and Fermini, Bernard and Hancox, Jules C and Knollmann, Bjorn C and Mirams, Gary R and Skinner, Jon and Zareba, Wojciech and Vandenberg, Jamie I (2016) Computational Cardiology and Risk Stratification for Sudden Cardiac Death: One of the Grand Challenges for Cardiology in the 21(st) Century. The Journal of Physiology, 594 (23). pp.6893-6908. ISSN 1469-7793 (OA)
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Abstract
Risk stratification in the context of sudden cardiac death has been acknowledged as one of the major challenges facing cardiology for the past four decades. In recent years, the advent of high performance computing has facilitated organ-level simulation of the heart, meaning we can now examine the causes, mechanisms and impact of cardiac dysfunction in silico. As a result, computational cardiology, largely driven by the Physiome project, now stands at the threshold of clinical utility in regards to risk stratification and treatment of patients at risk of sudden cardiac death. In this white paper, we outline a roadmap of what needs to be done to make this translational step, using the relatively well developed case of acquired or drug-induced long QT syndrome as an exemplar case. This article is protected by copyright. All rights reserved.
| Item Type: | Article |
|---|---|
| Additional Information: | This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Subjects: | R Medicine > R Medicine (General) |
| Depositing User: | Repository Administrator |
| Date Deposited: | 14 Apr 2016 03:30 |
| Last Modified: | 15 Jan 2018 00:21 |
| URI: | https://eprints.victorchang.edu.au/id/eprint/414 |
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