Richard Clayton
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Professor of Computational Physiology
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About
Richard Clayton is a Professor of Computational Physiology at the University of Sheffield, UK. His research primarily focuses on cardiovascular modeling, artificial intelligence applications in medical imaging, and the dynamics of arrhythmias. Recent publications include studies on the impact of experimental designs on personalization processes and the interaction effects in human cardiac fibrillation.
Recent Grants
Grant: Close
In-Procedure Personalized Atrial Digital Twin to Predict Outcome of Atrial Fibrillation Ablation
Open Date: 2021-09-30
Close Date: 2025-09-29
Grant: Close
The SofTMech Statistical Emulation and Translation Hub
Open Date: 2021-03-01
Close Date: 2025-02-28
Grant: Close
Uncertainty Quantification in Prospective and Predictive Patient Specific Cardiac Models
Open Date: 2017-04-30
Close Date: 2022-04-29
Grant: Close
Forecasting personal health in an uncertain environment
Open Date: 2013-03-31
Close Date: 2017-09-29
Grant: Close
Network: POEMS - Predictive mOdelling for hEalthcare technologies through MathS
Open Date: 2013-03-31
Close Date: 2017-03-30
Articles (12)
Year:
2021
Collaborators (13)
Martyn Nash
University of Auckland
Dhani Dharmaprani
Flinders University
Richard Wilkinson
Professor of Statistics
University of Nottingham
Kenneth Pope
Associate Professor in Engineering
Flinders University
Jim Wild
Professor of Magnetic Resonance Physics
University of Sheffield
Anand N Ganesan
-
Caroline Roney
Lecturer in Computational Medicine
Queen Mary University of London
Simonne Weeks
University of Brighton
Lewis Mitchell
University of Adelaide
Ahmed Iqbal
Senior Clinical Lecturer and Honorary Consultant in Diabetes
University of Sheffield
Louise Mackenzie
University of Brighton
Xu Xu
Reader
Sheffield Hallam University
Pankaj Garg
-
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