Icahn School of Medicine at Mount Sinai

Joint embedding predictive architecture for at-home polysomnography, encoding full-night seven-channel recordings for sleep staging and disease risk.

Joint embedding predictive architecture for ICU bedside waveforms, learning frozen ABP, ECG and PPG representations for five-minute risk estimation.

GPCR ligand bioactivity predictor combining ProteinBERT receptor embeddings with molecular descriptors, spanning the class A receptor family.

Histopathology foundation model pretrained with DINOv2 on tiles chosen by unsupervised hierarchical clustering over 350 million whole-slide tiles.

3D segmentation foundation model for female genito-pelvic anatomy, reading T2-weighted MRI and radiotherapy planning CT with one shared encoder.

Self-supervised transformer encoding a full eight-hour, seven-channel polysomnogram into task-agnostic representations for automated sleep staging.

Vision transformer for electrocardiograms that reads the printed 12-lead ECG as an image, enabling data-efficient diagnosis from few labeled examples.

Mass spectrometry proteomics foundation model that jointly embeds MS/MS spectra and peptides in one space, for open and error-tolerant search.