A self-supervised electrocardiogram foundation model for empowering cardiovascular disease prediction and genetic factor discovery
< 0.01) associated with ECG, including 8 novel findings. The genetic causal effects of EDFs on the CVDs were evaluated by Mendelian randomization, indicating 2 CVDs and 4 EDFs having causal relationships. Overall, ECG-LFM provides accurate prediction for CVDs and novel genetic insights for ECG.
Authors
- Hongyun Zhao (ORCID: https://orcid.org/0000-0002-1251-3888)
- Zhaoqi Li (ORCID: https://orcid.org/0009-0003-7772-6803)
- Siying Lin
- Yifeng Chen
- Yuedong Yang (ORCID: https://orcid.org/0000-0002-6782-2813)
- Qifan Wu (ORCID: https://orcid.org/0009-0001-4185-4382)
Institutions
- Sun Yat-sen University (CN)
- Sun Yat-sen Memorial Hospital (CN)
- Key Laboratory of Guangdong Province (CN)
Publication Details
- Journal
- Nature Communications
- Published
- 2026-04-27
- DOI
- https://doi.org/10.1038/s41467-026-72436-2
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00