All Competitors

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

Showing 1–10 of 10 filtered models

  • Merlin

    4531366.9K
    Stanford UniversityJanuary 1, 2026cnncontrastive_learningct+8

    3D vision-language foundation model for abdominal CT, pretrained on scans, radiology reports, and EHR codes for zero-shot interpretation.

    ImagingLanguage model
    54Openness

  • MedSigLIP

    29837421K
    Google Research +1 otherJuly 9, 2025contrastive_learningembeddingsfoundation_model+7

    Medically tuned SigLIP encoder from Google that maps medical images and text into one embedding space for zero-shot classification and retrieval.

    ImagingPathology
    30Openness

  • MELP

    311818
    The University of Hong KongJune 27, 2025contrastive_learningecg_classificationelectrocardiogram+4

    Multi-scale ECG-language model that aligns 12-lead ECG signals with clinical text at token, beat, and rhythm levels for zero-shot cardiac diagnosis.

    BiosignalsLanguage model
    68Openness

  • EyeCLIP

    8765—
    The Hong Kong Polytechnic University +5 othersJune 21, 2025clipcontrastive_learningcross_modal_retrieval+11

    CLIP-based vision-language foundation model for eye imaging, enabling zero-shot disease detection and cross-modal retrieval across 11 modalities.

    ImagingLanguage model
    15Openness

  • 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

  • ELM (EEG-Language Model)

    1410—
    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

  • CXR Foundation

    19982199
    Google ResearchAugust 2, 2024chest_radiographycnncontrastive_learning+9

    Chest X-ray embedding model built on ELIXR, producing image and image-text embeddings for data-efficient and zero-shot radiograph classification.

    Imaging

  • EchoCLIP

    51218—
    Cedars-Sinai Medical Center +2 othersMay 6, 2024cardiac_ultrasoundcontrastive_learningconvnext+7

    CLIP-style vision-language model for echocardiography, pretrained on echo videos and cardiologist reports for zero-shot cardiac interpretation.

    Imaging
    32Openness

  • T3D

    —16—
    Imperial College London +4 othersDecember 3, 2023cnncontrastive_learningcross_modal_retrieval+8

    Vision-language pretraining for 3D CT volumes, aligning scans with their radiology reports for zero-shot classification, retrieval, and segmentation.

    ImagingLanguage model
    12Openness

  • CXR-CLIP

    123138—
    Kakao BrainOctober 20, 2023bertchest_x_raycnn+8

    Large-scale chest X-ray vision-language pretraining model that learns image-report alignment for zero-shot and few-shot radiograph classification.

    Imaging
    18Openness