Back

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

1 September 2024 (16:00 - 16:40)
Organised by: Logo
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

Photo
Miss Semhar Misghina

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

6 More presentations in this session

Presentation thumbnail
Biventricular modelling for investigating ventricular arrhythmias in silico
Mr F. Cheng (London, GB)
Abstract Slides Video
Presentation thumbnail
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
Presentation thumbnail
Multiomic comparison of GLP1R analogues interaction networks
Professor M. Postula (Warsaw, PL)
Abstract Slides Video
Presentation thumbnail
Low conduction velocity is a key factor for localisation of reentrant drivers for atrial fibrillation
Mr S. Ogbomo-Harmitt (London, GB)
Abstract Slides Video
Presentation thumbnail
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)
Abstract Slides Video

Access the full session

Session thumbnail
Advancing computational cardiology and clinical efficiency

The Event

Event poster

ESC Congress 2024

1 September 2024 16:00 CET
You may be interested in
thumbnail
Congress Presentation
Standard ablation strategies for atrial fibrillation in a heart model
thumbnail
Congress Presentation
Combined SK and K2P channel block cardioverts atrial fibrillation in 82% of cases, doubling the efficacy of single channel block
thumbnail
Congress Presentation
Comparative influence of imaging and electrophysiology data on patient-specific atrial model calibration and prediction of ablation targets in atrial fibrillation

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources