All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 97–105 of 105 filtered models
UniBrain
39183—Vision-language pre-training framework for universal brain MRI diagnosis, learning from imaging-report pairs to cover more than ten brain diseases.
Imaging35OpennessPLIP
38283145.1KVision-language foundation model for pathology, fine-tuned from CLIP on 208,414 image-text pairs for zero-shot classification and image retrieval.
Imaging25OpennessLVM-Med
217100—Self-supervised vision foundation model pretrained on 1.3M medical images via second-order graph matching, for segmentation and classification.
Imaging28OpennessPMC-CLIP
241——Biomedical vision-language model trained contrastively on 1.6M figure-caption pairs mined from PubMed Central open-access articles.
PathologyImaging63OpennessBiomedCLIP
128665878.5KBiomedical vision-language model trained contrastively on 15M PubMed Central figure-caption pairs for zero-shot classification, retrieval, and VQA.
Imaging61OpennessPCRLv2
10083—Self-supervised pretraining framework for medical imaging that unifies pixel restoration with contrastive learning across 2D and 3D image backbones.
Imaging71OpennessProtST
1051686Multi-modal protein language model trained on sequences paired with biomedical text, enabling zero-shot function prediction and text-based retrieval.
Protein89OpennessCheXzero
234527—Self-supervised vision-language model for zero-shot detection of chest X-ray pathologies, trained on image-report pairs without explicit labels.
ImagingPathology70OpennessPubMedCLIP
1833116.7KMedical-domain CLIP fine-tuned on radiology image-caption pairs from ROCO, serving as a drop-in visual encoder for medical visual question answering.
PathologyLanguage model75Openness