All Competitors

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

Showing 1–8 of 8 filtered models

  • Merlin

    41912712.5K
    Stanford UniversityJanuary 1, 2026cnncontrastive_learningct+8

    A 3D vision-language foundation model for abdominal CT that pretrains on paired scans, radiology reports, and structured EHR codes for zero-shot interpretation.

    ImagingLanguage model
    54Openness

  • MELP

    291617
    The University of Hong KongJune 27, 2025contrastive_learningecg_classificationelectrocardiogram+4

    Multi-scale ECG-language pretraining 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

    8147—
    The Hong Kong Polytechnic University +5 othersJune 21, 2025clipcontrastive_learningcross_modal_retrieval+11

    A CLIP-based visual-language foundation model for multi-modal ophthalmic imaging, enabling zero-shot disease detection across 11 modalities including fundus, OCT, and slit-lamp.

    ImagingLanguage model
    15Openness

  • ECGFM-KED

    4241—
    Shanghai Jiao Tong UniversityDecember 18, 2024cardiologycnncontrastive_learning+7

    A knowledge-enhanced ECG foundation model that pairs a ResNet signal encoder with LLM-derived diagnostic knowledge for zero- and few-shot electrocardiogram interpretation.

    Biosignals
    30Openness

  • ELM (EEG-Language Model)

    149—
    Charité – Universitätsmedizin BerlinSeptember 11, 2024clinical_phenotypingcontrastive_learningcross_modal_retrieval+5

    Multimodal contrastive model aligning clinical EEG recordings with free-text reports, enabling label-efficient and zero-shot EEG phenotyping via text prompts.

    BiosignalsLanguage model
    26Openness

  • EchoCLIP

    48202—
    Cedars-Sinai Medical Center +2 othersMay 6, 2024cardiac_ultrasoundcontrastive_learningconvnext+7

    A CLIP-based vision-language foundation model for echocardiography, trained on over 1 million echocardiogram videos paired with expert reports for zero-shot cardiac interpretation.

    Imaging
    32Openness

  • T3D

    —13—
    Imperial College London +4 othersDecember 3, 2023cnncontrastive_learningcross_modal_retrieval+9

    Text-informed self-supervised vision-language pretraining for 3D CT volumes, enabling zero-shot classification, retrieval, report generation, and segmentation.

    ImagingLanguage model
    12Openness

  • CXR-CLIP

    121133—
    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