All Competitors

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

Showing 1–15 of 15 filtered models

  • TMEformer

    ———
    Sichuan UniversityMay 20, 2026cancerfoundation_modelin_silico_perturbation+6

    Spatial transcriptomics foundation model for the tumor microenvironment, giving TME-aware embeddings and in silico perturbation from one checkpoint.

    Spatial omics
    10Openness

  • RNAGAN

    1——
    The University of Hong KongMarch 20, 2026cancercell_type_annotationdata_generation+5

    Generative adversarial network trained on single-cell and bulk RNA-seq for sample stratification, marker analysis, and synthetic data generation.

    Single-cell
    60Openness

  • evoCancerGPT

    ———
    Dana-Farber Cancer InstituteFebruary 14, 2026cancerfoundation_modelgene_expression+5

    Single-cell foundation model that forecasts how cancer cells evolve, autoregressively generating future gene expression from prior cell states.

    Single-cell
    11Openness

  • STPAINTER

    ———
    University of Science and Technology of China +2 othersFebruary 13, 2026cancerdiffusionfoundation_model+4

    Pan-cancer pretrained diffusion model imputing genome-wide expression from sparse spatial transcriptomics panels, zero-shot and reference-free.

    Spatial omicsSingle-cell
    4Openness

  • TwinCell

    —2—
    DeepLifeJanuary 29, 2026cancerfoundation_modelgene_regulation+4

    Large causal cell model trained on cancer perturbation data that generalizes zero-shot to patient-derived cells for therapeutic target prioritization.

    Single-cell
    19Openness

  • PGL (Portraying Gene Language)

    —1—
    Seoul National University HospitalJanuary 12, 2026cancercell_type_annotationdata_generation+6

    Single-cell RNA-seq language model that treats cells as gene-expression tokens, synthesizing whole transcriptomes from tissue and disease metadata.

    Single-cellSpatial omics
    2Openness

  • CancerSTFormer

    ———
    Baylor College of MedicineDecember 25, 2025cancerfoundation_modelligand_target_inference+7

    Spatially aware transcriptomic foundation models for cancer, pairing 50um-Local and 250um-Extended views of spot-resolution spatial transcriptomes.

    Spatial omics
    12Openness

  • PanFoMa

    2——
    Shanghai Jiao Tong University +4 othersDecember 2, 2025batch_correctioncancercell_type_annotation+7

    Pan-cancer single-cell foundation model with a hybrid Transformer-Mamba architecture, released with the PanFoMaBench cancer evaluation benchmark.

    Single-cell
    13Openness

  • JWTH

    —1—
    Technical University of MunichNovember 7, 2025biomarker_detectioncancerfoundation_model+4

    Pathology foundation model that fuses global patch and cell-level tokens via joint-weighted attention pooling for H&E-based biomarker detection.

    Pathology
    5Openness

  • Tahoe-x1

    1591539
    Tahoe TherapeuticsOctober 23, 2025cancercell_type_annotationdrug_discovery+7

    Perturbation-trained single-cell foundation models (up to 3B parameters) that jointly model genes, cells, and compounds for precision oncology tasks.

    Single-cellSmall molecule
    95Openness

  • DeepSpot2Cell

    152—
    ETH ZurichSeptember 23, 2025cancerdeep_setsgene_expression_prediction+4

    Predicts virtual single-cell spatial transcriptomics from H&E histology using frozen pathology foundation models and spot-level supervision.

    PathologySpatial omics
    58Openness

  • Shusi

    11—
    Zhejiang UniversityApril 27, 2025cancerfoundation_modelgraph_neural_network+3

    Single-cell foundation model inferring context-specific protein-protein interactions from cancer transcriptomes via a variational graph autoencoder.

    Single-cellProtein
    20Openness

  • Tahoe-100M-SCVI

    1.7K123—
    Tahoe TherapeuticsFebruary 20, 2025autoencodercancerembeddings+6

    scVI variational autoencoder trained on the Tahoe-100M drug-perturbation atlas, giving a 10-dimensional embedding of treated cancer cell states.

    Single-cell
    93Openness

  • PathChat

    —478—
    Mahmood Lab +4 othersJuly 10, 2024cancerdiagnosisfoundation_model+7

    Multimodal vision-language copilot for pathology that answers open-ended questions about histology images and reasons about differential diagnoses.

    PathologyLanguage model
    35Openness

  • Prov-GigaPath

    626944100.5K
    Microsoft ResearchMay 22, 2024cancerfoundation_modelhistology+3

    Whole-slide histopathology foundation model pretrained on 1.3 billion image tiles from 171,189 clinical slides spanning 31 tissue types.

    Pathology
    58Openness