Models (6)
Histopathology foundation model with 1.1B parameters, trained entirely on public data using JEDI, a dual-stage strategy combining JEPA and DINO.
HD-Prot
The Hong Kong Polytechnic University / genbio.ai / Mohamed bin Zayed University of Artificial Intelligence
Released December 17, 2025
Multimodal protein language model that adds a continuous-token diffusion head to a discrete pLM, modeling structure without vector quantization.
DNA foundation model scaling an encoder-only transformer to 7 billion parameters for variant effect prediction, gene expression, and sequence design.
Mixture-of-experts protein language model scaling to 16 billion parameters, applied to variant effect prediction and de novo protein design.
RNA foundation model with 1.6 billion parameters, pretrained on 42 million non-coding RNA sequences for structure prediction and RNA sequence design.
Single-cell RNA-seq foundation model pretrained on 50 million human cells, encoding the full transcriptome for annotation and perturbation modeling.