Back
ESC2025 Premium Access

Cardiometabolic polygenic risk profiling improves prediction of incident major adverse cardiovascular events

Session: Artificial intelligence: advancing risk prediction in cardiovascular disease
Topic: Scores
Speaker: Doctor V. Shyam-Sundar (London, GB)
Event: ESC Congress 2025

Congress Presentation

Add to my library

Like

About the speaker

Doctor Vijay Shyam-Sundar

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

3 more presentations in this session

Lifetime risk in preventive treatment decisions: the clinical impact of using different prediction horizons to identify individuals at high risk of cardiovascular disease

Speaker: Ms S. Bijkerk (Utrecht, NL)

Access
Abstract
Slides
Video
Like
Thumbnail

Dietary inflammatory potential and risk of advanced cardiovascular kidney metabolic syndrome analysis of national health and nutrition examination survey

Speaker: Ms Y. Yin (Beijing, CN)

Access
Abstract
Slides
Video
Like
Thumbnail

Lifetime prediction of incident heart failure risk in patients with established atherosclerotic cardiovascular disease: the SMART2-HF risk score

Speaker: Doctor S. Hageman (Utrecht, NL)

Access
Abstract
Slides
Video
Like
Thumbnail

Access the full session

Artificial intelligence: advancing risk prediction in cardiovascular disease

Speakers: Doctor V. Shyam-Sundar, Ms S. Bijkerk, Ms Y. Yin, Doctor S. Hageman
Access
Video
Like
Thumbnail

About the event

Image

ESC Congress 2025

29 August - 1 September 2025

Sessions Presentations

Congress
logo Image

ESC 365 is supported by

bristol-myers-squibb Explore sponsored resources
novartis Explore sponsored resources
novo-nordisk Explore sponsored resources