All Competitors

Every biological foundation model, evaluated and ranked by the bio.rodeo team

Showing 15 of 5 filtered models

  • MuPD

    Stanford UniversityApril 4, 2026data_augmentationdiffusion_transformerfoundation_model+7

    Diffusion-transformer pathology model embedding H&E histology, RNA profiles, and clinical text in a latent space for zero-shot cross-modal synthesis.

    PathologySpatial omics
    15Openness
  • CLOP-DiT

    Third Military Medical UniversityMarch 30, 2026contrastive_learningdata_augmentationdiffusion+7

    Generates single-cell transcriptomes from structured biological metadata via contrastive language-omics pretraining and a diffusion transformer.

    Single-cell
    10Openness
  • scLDM

    587
    Chan Zuckerberg InitiativeNovember 4, 2025autoencodercell_biologydata_augmentation+8

    Latent diffusion model for generating single-cell gene expression profiles, pairing a permutation-invariant autoencoder with a diffusion transformer.

    Single-cell
    75Openness
  • MINIM

    158138
    Peking University +2 othersFebruary 1, 2025data_augmentationdiffusionfoundation_model+9

    Text-to-image diffusion model that generates synthetic medical images across imaging modalities and organs to augment scarce clinical training data.

    Imaging
    41Openness
  • RoentGen

    88146
    Stanford UniversityNovember 23, 2022chest_radiographydata_augmentationfoundation_model+5

    Text-conditioned latent diffusion model that generates synthetic chest X-rays from free-form radiology prompts by adapting Stable Diffusion.

    ImagingLanguage model
    20Openness