Models (5)
1.1B-parameter histopathology foundation model trained on public data with a JEDI (JEPA+DINO) dual-stage strategy, reaching state-of-the-art on THUNDER, HEST, and PathoROB.
A 7-billion-parameter encoder-only DNA foundation model trained on 10.6 billion nucleotides from 796 species for functional genomics and synthetic biology.
A 16-billion-parameter mixture-of-experts protein language model pretrained on 1.2 trillion amino acids, the first MoE architecture applied to protein foundation modeling.
A 1.6-billion-parameter RNA foundation model pretrained on 42 million non-coding RNA sequences, achieving state-of-the-art performance across 24 of 26 RNA understanding benchmarks.
Single-cell RNA-seq foundation model series pretrained on 50 million human cells with full transcriptome-scale context for cell clustering and perturbation modeling.