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

    A generative diffusion-transformer foundation model that embeds H&E histology, RNA profiles, and clinical text in a shared 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 transcriptomic profiles from structured biological metadata via contrastive language-omics pretraining and a diffusion transformer.

    Single-cell
    10Openness
  • scLDM

    525
    Chan Zuckerberg InitiativeNovember 4, 2025autoencodercell_biologydata_augmentation+8

    A scalable latent diffusion model for generating realistic single-cell gene expression profiles, using a permutation-invariant VAE and flow-matching diffusion transformer.

    Single-cell
    75Openness
  • MINIM

    158127
    Peking University +2 othersFebruary 1, 2025data_augmentationdiffusionfoundation_model+9

    A self-improving text-to-image diffusion foundation model that generates synthetic medical images across multiple modalities and organs to augment downstream clinical AI tasks.

    Imaging
    41Openness
  • RoentGen

    87134
    Stanford UniversityNovember 23, 2022chest_radiographydata_augmentationfoundation_model+7

    A text-conditioned latent diffusion model that generates realistic synthetic chest X-rays from free-form radiology prompts, adapting Stable Diffusion to the medical imaging domain.

    ImagingLanguage model
    20Openness