All Competitors

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

Showing 1–9 of 9 filtered models

  • GENERator-v2

    4601—
    Beijing Zhongguancun Academy +4 othersJanuary 29, 2026autoregressivednafoundation_model+6

    Family of autoregressive genomic foundation models that reconcile k-mer tokenization with single-nucleotide resolution at contexts up to 98k bp.

    DNA & Gene
    86Openness

  • STACK

    141115—
    Arc Institute +1 otherJanuary 9, 2026foundation_modelin_context_learningperturbation_prediction+4

    Single-cell foundation model using tabular attention over context cells to predict responses to arbitrary perturbations without fine-tuning.

    Single-cell
    33Openness

  • CMAP

    ———
    Amazon Web ServicesJanuary 7, 2026antibodyantibody_developabilityin_context_learning+4

    Antibody developability predictor pairing text and protein language models, using in-context learning to fit new assays without retraining.

    ProteinLanguage model
    4Openness

  • cfRNA-ICL

    ———
    Eigen BioDecember 13, 2025cancer_classificationcell_free_rnaearly_cancer_detection+7

    In-context learning model for cell-free RNA, meta-trained on synthetic tasks from a cfRNA structural causal model for few-shot cancer classification.

    Single-cellRNA
    8Openness

  • PRIMO

    52—
    Harvard University +4 othersDecember 2, 2025deep_mutational_scanningin_context_learningprotein_engineering+4

    Transformer for few-shot protein fitness prediction that combines in-context learning with test-time training to adapt to new proteins and assays.

    Protein
    61Openness

  • DemoDiff

    17617
    University of Notre Dame +2 othersOctober 9, 2025diffusiondrug_discoveryfew_shot+5

    Graph diffusion transformer for in-context molecular design, adapting to new tasks from a few molecule-property demonstrations without fine-tuning.

    Small molecule
    74Openness

  • TabPFN-Wide

    ———
    University of TübingenOctober 7, 2025biomarker_discoveryfoundation_modelgenomics+3

    Tabular foundation model adapted for extreme feature counts, enabling in-context prediction on wide omics tables with tens of thousands of features.

    DNA & GeneSingle-cell
    32Openness

  • Med-Flamingo

    451405—
    Stanford University +2 othersJuly 27, 2023few_shotin_context_learningmedical_imaging+6

    Multimodal medical vision-language model for few-shot visual question answering, learning new imaging tasks from in-context examples at inference.

    PathologyLanguage model
    18Openness

  • UniverSeg

    588110—
    MIT CSAIL +3 othersApril 12, 2023cnnfew_shot_learningfoundation_model+4

    Medical image segmentation model that solves unseen segmentation tasks in context from a few labeled examples, with no retraining or fine-tuning.

    Imaging
    49Openness