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In-silico insights into personalised therapy selection of anti-arrhythmic drugs and ablation using patient-specific biatrial models for atrial fibrillation

30 August 2024 (08:00 - 17:30)
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Congress Presentation Part of: Advancing computational cardiology and clinical efficiency In-Silico Medicine and Virtual Physiologic Patient ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Miss Semhar Misghina

Queen Mary University of London, London (United Kingdom of Great Britain & Northern Ireland)

6 More presentations in this session

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Biventricular modelling for investigating ventricular arrhythmias in silico
Mr F. Cheng (London, GB)
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A pipeline for developing digital cardiac twins integrating cardiovascular magnetic resonance and electrocardiographic imaging: results from the MyoFit46 study
Mr P. Gonzalez-Martin (Barcelona, ES)
Abstract Slides Video
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Multiomic comparison of GLP1R analogues interaction networks
Professor M. Postula (Warsaw, PL)
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Low conduction velocity is a key factor for localisation of reentrant drivers for atrial fibrillation
Mr S. Ogbomo-Harmitt (London, GB)
Abstract Slides Video
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What does routinely-collected electronic health record data tell us about the use of heart failure medication among older people in Wales? Making progress but could do better
Doctor E. Rees (Swansea, GB)
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Access the full session

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Advancing computational cardiology and clinical efficiency

The Event

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ESC Congress 2024

30 August - 2 September 2024
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ESC 365 is supported by

novartis Explore sponsored resources