All Competitors

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

Showing 19 of 9 filtered models

  • NeuroRAD-FM

    Stony Brook University +1 otherSeptember 18, 2025cnnfoundation_modelmolecular_subtyping+6

    Neuro-oncology foundation model for brain tumor MRI, using distributionally robust pretraining for molecular subtyping and survival prediction.

    Imaging
    23Openness
  • 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
  • Pulse-PPG

    7345
    University of Memphis +1 otherFebruary 3, 2025cnncontrastive_learningfoundation_model+5

    Photoplethysmography foundation model pretrained on raw wearable signals from a field study, transferring across lab and field health tasks.

    Biosignals
    64Openness
  • ECGFM-KED

    4352
    Shanghai Jiao Tong UniversityDecember 18, 2024cardiologycnncontrastive_learning+7

    Knowledge-enhanced ECG foundation model aligning a ResNet encoder with LLM-generated disease descriptions for zero- and few-shot interpretation.

    Biosignals
    30Openness
  • Charité – Universitätsmedizin BerlinSeptember 11, 2024clinical_phenotypingcontrastive_learningcross_modal_retrieval+5

    Multimodal contrastive model aligning clinical EEG with free-text reports, enabling zero-shot EEG classification from natural-language prompts.

    BiosignalsLanguage model
    26Openness
  • AnatCL

    1820
    University of Turin +1 otherAugust 7, 20243d_cnnbrain_age_predictionbrain_mri+7

    Brain MRI foundation model family pretrained with anatomically informed contrastive learning for diagnosis and clinical score prediction.

    Imaging
    71Openness
  • University of OxfordMarch 18, 2024cnnmulti_taskresnet+3

    Self-supervised CNN pretrained on 700,000 person-days of UK Biobank accelerometer data for human activity recognition across devices and cohorts.

    Biosignals
    28Openness
  • Harvard Medical School +6 othersMarch 15, 20243d_cnnbiomarker_discoverycontrastive_learning+9

    Self-supervised 3D CT foundation model that extracts general-purpose tumor representations for cancer imaging biomarker discovery and prognosis.

    Imaging
    92Openness
  • LVM-Med

    217100
    University of Stuttgart +6 othersJune 20, 2023classificationcontrastive_learningct+11

    Self-supervised vision foundation model pretrained on 1.3M medical images via second-order graph matching, for segmentation and classification.

    Imaging
    28Openness