Clayton, R.H. orcid.org/0000-0002-8438-7518 and Bishop, M.J. (2015) Computational models of ventricular arrhythmia mechanisms: recent developments and future prospects. Drug Discovery Today: Disease Models, 14. pp. 17-22. ISSN 1740-6757
Abstract
Ventricular arrhythmias are an important cause of death, and can also be a serious side effect of drugs. Computational models are becoming established as important research tools, alongside experimental work, for understanding the mechanisms that initiate and sustain these dangerous events. Advances in computer power have enabled large-scale simulations of cell and tissue electrophysiology, and advances in imaging have generated detailed models of cardiac anatomy. Active research areas include action potential propagation around an infarct, detailed modelling of drug effects in multi-scale models, low-voltage defibrillation and pipelines to establish patient-specific models of structure and function. Although computational power remains a bottleneck for high throughput simulations, it is probable that electrophysiological models will continue to become increasingly important tools.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014 Elsevier Ltd. This is an author produced version of a paper subsequently published in Drug Discovery Today: Disease Models. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 15 Jun 2022 15:40 |
Last Modified: | 17 Jun 2022 03:53 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.ddmod.2014.04.002 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:187714 |
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