Back

Machine learning-based prediction of drug-induced QTc changes in a large Finnish biobank cohort

13 April 2026 (15:30 - 16:15)
Organised by: Logo
Congress Presentation Part of: Ventricular arrhythmias risk stratification Prevention EHRA Premium Access EHRA 2026 European Heart Rhythm Association (EHRA)

About the speaker

Photo
Doctor Ville Lauri Johannes Langen

Turku University Hospital, Turku (Finland)

6 More presentations in this session

Presentation thumbnail
Characteristics of patients with mitral valve prolapse presenting with sudden cardiac arrest: a single-center case-control study
Doctor N. Martini (Padova, IT)
Abstract Slides Video
Presentation thumbnail
Identifying the vulnerable: navigating the predictors of implantable cardioverter defibrillator (ICD) therapy in the moderately reduced ejection fraction (EF) cohort
Doctor M. Abdelfattah (Aswan, EG)
Abstract Slides Video
Presentation thumbnail
Effect of flecainide on complex ventricular arrhythmogenesis: insights from the prospective UNIFLECA study
Doctor M. Botis (Athens, GR)
Abstract Slides Video
Presentation thumbnail
Gender differences in risk of sudden cardiac arrest in patients with newly diagnosed non-ischemic cardiomyopathy or coronary artery disease: targeted insights from the SCD-PROTECT study
Professor D. Duncker (Hannover, DE)
Abstract Slides Video
Presentation thumbnail
Risk of inherited cardiac disease in relatives of out-of-hospital cardiac arrest patients - a nationwide study
Ms M. Brun Nielsen (Copenhagen, DK)
Abstract Slides Video

Access the full session

Session thumbnail
Ventricular arrhythmias risk stratification

The Event

Event poster

EHRA 2026

13 April 2026 15:30 CET
You may be interested in
thumbnail
Congress Presentation
What information can we get from an ECG using AI?
thumbnail
Congress Presentation
Artificial intelligence assisted QT interval measurement in 12-lead-ECGs
thumbnail
Congress Presentation
Clinical characteristics and machine learning-based prediction of acquired Long QT Syndrome among hospitalized patients

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources