Broad Institute
A biomedical research institute of MIT and Harvard, uniting genomics, chemistry, and AI to understand the roots of disease and help patients.
Models (9)
Transformer that predicts protein-protein interactions at residue resolution, spanning mutations, PTMs, peptide-MHC binding, and disease variants.
Generative microscopy foundation model that synthesizes in-silico fluorescence images of protein subcellular localization from amino-acid sequence.
Long-context RNA foundation model that predicts splicing, isoform abundance, and variant effects from 64 kb of unspliced pre-mRNA sequence.
Scooby
Technical University of Munich / Helmholtz Munich / Harvard Medical School / Broad Institute / Harvard University
Released October 1, 2025
Predicts single-cell scRNA-seq coverage and scATAC-seq insertion profiles from DNA sequence, adapting the Borzoi trunk with a cell-specific decoder.
Multimodal foundation model predicting genome-wide binding of chromatin-associated proteins from protein sequence, DNA sequence, and chromatin state.
Single-cell perturbation-response model that predicts transcriptomic and imaging outcomes of unseen genetic perturbations via a VAE with attention.
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.
Conditional autoregressive genomic language model trained on 13.6M mammalian promoters, scoring promoter variants, including indels, zero-shot.
Single-cell foundation model pretrained on about 30 million human transcriptomes, using rank-value encoding for context-aware gene network inference.