Models (4)
Eva
Enable Medicine / Stanford University / MD Anderson Cancer Center / University of Tübingen / The University of Hong Kong
Released December 12, 2025
Tissue imaging foundation model pretrained on matched H&E histology and spatial proteomics for cross-modal inference and zero-shot retrieval.
Tabular foundation model adapted for extreme feature counts, enabling in-context prediction on wide omics tables with tens of thousands of features.
KRONOS
Mahmood Lab / Brigham and Women's Hospital / Harvard Medical School / Broad Institute / Dana-Farber Cancer Institute / Beth Israel Deaconess Medical Center / Stanford University / The Ohio State University / University of Tübingen
Released June 3, 2025
Spatial proteomics foundation model, marker-aware and panel-agnostic, pretrained on 47 million multiplexed tissue-imaging patches from 175 markers.
Multi-language transformer framework using five pre-trained language models to predict DNA methylation (6mA, 4mC, 5hmC) across species.