Models (7)
BrainDINO
Emory University / Georgia Institute of Technology / Memorial Sloan Kettering Cancer Center
Released April 30, 2026
Self-supervised brain MRI foundation model built on DINOv3, pretrained on roughly 6.6 million unlabeled axial slices for neuroimaging tasks.
Chemical language model that generates matched molecular pair transformations from SMILES and SMARTS to design medicinal-chemistry analogs.
Retrieval-augmented model for matched molecular pair transformations, proposing localized analog edits guided by retrieved reference compounds.
NeuroSTORM
Chinese University of Hong Kong / Massachusetts General Hospital / Yonsei University / University of Sydney / Peking University / University of Georgia / Lehigh University / Emory University
Released June 11, 2025
Spatiotemporal foundation model that learns representations directly from 4D functional MRI volumes for disease diagnosis and phenotype prediction.
Med-R1
Emory University / University of Southern California / University of Tokyo / Johns Hopkins University / Georgia Institute of Technology
Released March 18, 2025
Medical vision-language model trained with reinforcement learning for generalizable reasoning across eight imaging modalities and five question types.
Convolutional ECG foundation model trained on expert annotations spanning 150 diagnostic categories, with 12-lead and single-lead wearable variants.
Foundation model for photoplethysmography (PPG) that learns quality-robust waveform representations for heart rate, blood pressure, and AF detection.