ESC 365 - Predicting heart failure in cancer survivors: use of polygenic risk vs clinical score

ESC Premium Access

Predicting heart failure in cancer survivors: use of polygenic risk vs clinical score

Session: Get out your crystal ball: predicting heart failure events using models

Topic: Prevention

Speaker: Doctor C. Soh (Melbourne, AU)

Event: ESC Congress 2024

Congress Presentation

About the speaker

Doctor Cheng Hwee Soh

Baker Heart and Diabetes Institute, Melbourne (Australia)

0 follower

4 more presentations in this session

Development and validation of a predicting model for risk of rehospitalization within 30 days in heart failure patients with preserved ejection fraction

Speaker: Professor Y. Zhu (Xiangtan, CN)

Machine learning to improve the performance of natriuretic peptides across age groups for the diagnosis of acute heart failure

Speaker: Mr D. Perez Vicencio (Edinburgh, GB)

Enhancing the selection of heart failure patients for invasive procedures: how machine learning can predict the diagnostic yield of endomyocardial biopsy

Speaker: Doctor C. Basile (Naples, IT)

High prevalence of cardiotropic viruses in endomyocardial biopsies from patients with inflammatory cardiomyopathy demonstrated by a novel targeted NGS approach

Speaker: Doctor C. Baumeier (Berlin, DE)

Access the full session

Get out your crystal ball: predicting heart failure events using models

Speakers: Doctor C. Soh, Professor Y. Zhu, Mr D. Perez Vicencio, Doctor C. Basile, Doctor C. Baumeier

About the event

ESC Congress 2024

30 August - 2 September 2024

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources

Explore sponsored resources