All Competitors

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

Showing 114 of 14 filtered models

  • University of California, San DiegoJuly 1, 2026brain_mridisease_classificationfoundation_model+1

    Brain MRI morphometry model that estimates cortical thickness, surface area, and volume in milliseconds instead of hours.

    Imaging
    47Openness
  • GenBloom

    3
    Helmholtz Munich +1 otherMay 28, 2026cell_type_annotationcontrastive_learningcytology+6

    Genetically aligned foundation model for blood smear cytology that links single-cell morphology to the chromosomal aberrations behind AML and APL.

    Pathology
    65Openness
  • Emory University +2 othersApril 30, 2026brain_age_estimationdisease_classificationfoundation_model+6

    Self-supervised brain MRI foundation model built on DINOv3, pretrained on roughly 6.6 million unlabeled axial slices for neuroimaging tasks.

    Imaging
    49Openness
  • BiomeGPT

    1
    Massachusetts General HospitalJanuary 5, 2026biomarker_discoverydisease_classificationfoundation_model+6

    Gut microbiome foundation model pretrained on human shotgun metagenomes, learning species-level taxonomic representations for disease prediction.

    DNA & GeneLanguage model
    8Openness
  • PULSAR

    3628224
    Stanford UniversityNovember 26, 2025biomarker_predictiondisease_classificationfoundation_model+6

    Hierarchical single-cell foundation model that turns scRNA-seq profiles into zero-shot donor-level embeddings for disease and biomarker prediction.

    Single-cellProtein
    58Openness
  • LSM-MS2

    Matterworks, Inc.October 30, 2025compound_annotationdisease_classificationembeddings+7

    Foundation model for tandem mass spectrometry that embeds MS/MS spectra into a learned chemical space, resolving isomers and classifying disease.

    MetabolomicsSmall molecule
    4Openness
  • McGill University +1 otherSeptember 12, 2025brain_mricnncontrastive_learning+7

    Self-supervised foundation model for 3D brain MRI, learning transferable anatomical representations from unlabeled scans for disease classification.

    Imaging
    74Openness
  • HGFM

    Tsinghua University +2 othersApril 1, 2025brain_connectivitydisease_classificationfew_shot+6

    Hypergraph foundation model for brain disease diagnosis from resting-state fMRI, self-supervised on high-order connectivity among brain regions.

    BiosignalsImaging
    10Openness
  • TEDDY

    9
    Merck & Co.March 5, 2025cell_type_annotationdisease_classificationfoundation_model+3

    Single-cell RNA-seq foundation models combining masked modeling with ontology supervision to classify cell states across unseen donors and diseases.

    Single-cell
    46Openness
  • Rensselaer Polytechnic Institute +2 othersFebruary 11, 2025chest_ctdisease_classificationfoundation_model+7

    865M-parameter multimodal foundation model that fuses 3D low-dose chest CT with clinical data to answer 17 lung cancer screening questions.

    Imaging
    71Openness
  • M3FM

    191.4K
    University of Oxford +6 othersFebruary 6, 2025chest_x_rayclipcontrastive_learning+9

    Multimodal medical imaging foundation model for zero-shot clinical diagnosis and report generation from chest X-ray and CT in English and Chinese.

    ImagingLanguage model
    60Openness
  • SS-CXR

    13
    Children's National Hospital +2 othersOctober 27, 2024disease_classificationfoundation_modelradiology+3

    Self-supervised vision transformer pretrained on chest X-rays to produce a domain-specific foundation model for classification and lung segmentation.

    Imaging
    22Openness
  • ECG-Chat

    8046
    China University of Geosciences +2 othersAugust 16, 2024cardiologycontrastive_learningdisease_classification+6

    Multimodal ECG-language model aligning 12-lead waveforms with clinical report text for conversational cardiac diagnosis and report generation.

    BiosignalsLanguage model
    27Openness
  • ECG-FM

    29795
    University of Toronto +1 otherAugust 9, 2024cardiologycontrastive_learningdisease_classification+6

    Open transformer foundation model for 12-lead electrocardiograms, pretrained on 1.5 million unlabeled ECGs with a wav2vec 2.0 self-supervised recipe.

    Biosignals
    67Openness