A new self-supervised foundation model trained on 11.5 million electrocardiograms achieves superior cardiovascular disease prediction while identifying novel genetic variants associated with cardiac function. Original paper: A self-supervised electrocardiogram foundation model for empowering cardiovascular disease prediction and genetic factor discovery. — Nature communications. 10.1038/s41467-026-72436-2 📄 Read the article