Nature Biomedical Engineering

Building foundation models for cardiac MRI

2026-03-26

Nature Biomedical Engineering, Published online: 26 March 2026; doi:10.1038/s41551-026-01638-2 A video-based deep-learning system was trained to understand the spectrum of human cardiovascular disease by the self-supervised method of contrastive learning, using pairs of cardiac MRI scans and their corresponding text reports that are generated as part of routine clinical practice.

A generalizable deep learning system for cardiac MRI

2026-03-25

Rohan Shad, Cyril Zakka, Dhamanpreet Kaur, Mrudang Mathur, Robyn Fong, Joseph Cho, Ross Warren Filice, John Mongan, Kimberly Kallianos, Nishith Khandwala, David Eng, Matthew Leipzig, Walter R. Witschey, Alejandro de Feria, Victor A. Ferrari, Euan A. Ashley, Michael A. Acker, Curtis Langlotz, William Hiesinger

Nature Biomedical Engineering, Published online: 25 March 2026; doi:10.1038/s41551-026-01637-3 A transformer-based vision system for cardiac MRI offers a generalizable and data-efficient system for diverse tasks in cardiology, offering clear advantages for contextualizing human cardiovascular disease and diagnosing disease.

mRNA delivery to the endometrium

2026-03-23

Rita Strack

Nature Biomedical Engineering, Published online: 23 March 2026; doi:10.1038/s41551-026-01646-2 mRNA delivery to the endometrium