Machine learning model finds genetic factors for heart disease
By analyzing electrocardiograms and magnetic resonance images of the heart, the model can predict heart-related traits and drive genetic discovery.
Support for the research was provided in part by the Eric and Wendy Schmidt Center at the Broad Institute, the National Science Foundation, the Office of Naval Research, the MIT-IBM Watson AI Lab, a Simons Investigator Award, the National Institutes of Health, and the American Heart Association.
Radhakrishnan A, Friedman SF, et al. Cross-modal autoencoder framework learns holistic representations of cardiovascular state. Nature Communications. Online April 28, 2023. DOI: 10.1038/s41467-023-38125-0.