Jonathan Cooper
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Recent Grants
Grant: Close
FPGA Testbed
Open Date: 2021-03-31
Close Date: 2022-09-29
Grant: Close
Exascale Computing for System-Level Engineering: Design, Optimisation and Resilience
Open Date: 2020-03-31
Close Date: 2021-12-31
Grant: Close
Reproducible development of mathematical models of cardiac electrophysiology
Open Date: 2017-03-31
Close Date: 2020-03-30
Articles (6)
The L‐type calcium current () plays a critical role in cardiac electrophysiology, and models of are vital tools to predict arrhythmogenicity of drugs and mutations. Five decades of measuring and modeling have resulted in several competing theories (encoded in mathematical equations). However, the introduction of new models has not typically been accompanied by a data‐driven critical comparison with previous work, so that it is unclear which model is best suited for any particular application. In this review, we describe and compare 73 published mammalian models and use simulated experiments to show that there is a large variability in their predictions, which is not substantially diminished when grouping by species or other categories. We provide model code for 60 models, list major data sources, and discuss experimental and modeling work that will be required to reduce this huge list of competing theories and ultimately develop a community consensus model of . This article is categorized under: Cardiovascular Diseases > Computational Models Cardiovascular Diseases > Molecular and Cellular Physiology
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2022
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2022
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2021
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2021
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2020
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2020
Collaborators (10)
Poul Nielsen
Professor
University of Auckland
david gavaghan
University of Oxford
Jochen Kursawe
University of St. Andrews
Matthew Clarkson
University College London
Fergus Cooper
University of Oxford
Michael Clerx
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Maurice Hendrix
TNO
Alfonso Bueno-Orovio
University of Oxford
Gary Richard Mirams
Professor of Mathematical Physiology / Wellcome Trust Senior Research Fellow
University of Nottingham
David Nickerson
University of Auckland
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