All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–24 of 24 filtered models
SpineAgent
6——Multi-sequence spine MRI foundation model with DINOv3 encoders, supporting condition classification, pathology localization, and report generation.
Imaging55OpennessBioCLIP 2.5
77435.3KVision foundation model for the tree of life, scaling BioCLIP 2 to a ViT-H/14 backbone and more organism images for zero-shot species classification.
Imaging93OpennessRadiologyNET
58—Family of CNN foundation models pretrained on multimodal radiology images, a domain-specific alternative to ImageNet transfer learning weights.
Imaging53OpennessBioCLIP 2
774348.7KVision foundation model for the tree of life, trained on 214 million organism images across 952,000 taxa for zero-shot species classification.
Imaging93OpennessMed-R1
128140—Medical vision-language model trained with reinforcement learning for generalizable reasoning across eight imaging modalities and five question types.
ImagingLanguage model45OpennessFM-CT
6213—Self-supervised 3D vision foundation model for non-contrast head CT, pretrained on 361,663 scans to detect a broad range of intracranial disease.
Imaging26OpennessMUSK
240283—Vision-language foundation model for precision oncology, pretrained on 50M pathology images and 1B text tokens via unified masked modeling.
PathologyLanguage model12OpennessBrainIAC
13924—Self-supervised vision foundation model for structural brain MRI, providing a reusable encoder for brain age, survival, and image classification.
Imaging24OpennessUltraSam
13633—Promptable ultrasound image segmentation foundation model, a SAM adaptation trained on US-43d, the largest public ultrasound segmentation corpus.
Imaging26OpennessMedRegA
462913Hong Kong University of Science and Technology +1 otherOctober 24, 2024histologyimage_classificationinstruction_tuning+8Region-aware bilingual medical multimodal LLM that handles image- and region-level vision-language tasks across eight imaging modalities.
PathologyLanguage model65OpennessMaCo
1276—Chest X-ray foundation model that pairs masked image modeling with image-report contrastive alignment for zero-shot diagnosis and phrase grounding.
Imaging74OpennessBiomedGPT
7084062Open-source, lightweight generalist vision-language foundation model for diverse biomedical imaging and text tasks.
Language modelImagingPathology33OpennessCXR Foundation
19982199Chest X-ray embedding model built on ELIXR, producing image and image-text embeddings for data-efficient and zero-shot radiograph classification.
ImagingMammo-CLIP
98—45Vision-language foundation model pre-trained on screening mammogram-report pairs to improve data efficiency and robustness in breast cancer detection.
ImagingPathology27OpennessLaMIM
1922—West China Hospital of Sichuan University +1 otherApril 17, 2024autoencoderbrain_mrifoundation_model+6Brain MRI foundation model pretrained with masked image modeling on roughly 57,000 multi-contrast head scans for brain tumor diagnosis.
Imaging15OpennessMed-MoE
15889—Lightweight mixture-of-experts medical vision-language model routing visual question answering and image classification to domain-specific experts.
ImagingLanguage modelPathology81OpennessCheXagent
23075981Instruction-tuned vision-language foundation model for chest X-ray interpretation, with 8 billion parameters spanning eight clinical task types.
ImagingLanguage model32OpennessDerm Foundation
374631Google's dermatology image embedding model that produces 6144-dimensional embeddings for data-efficient skin-condition classifiers.
ImagingBioCLIP
27024124.8KVision foundation model for the tree of life, trained on TreeOfLife-10M for zero-shot species classification of plants, animals, and fungi.
Imaging93OpennessRETFound
660938105University College London +1 otherSeptember 13, 2023disease_detectionfoundation_modelimage_classification+7Self-supervised foundation model for retinal imaging, pretrained on 1.6 million unlabelled fundus and OCT scans to detect ocular and systemic disease.
ImagingPathology30OpennessMedBLIP
5789—Vision-language framework for 3D medical image diagnosis and visual question answering, bridging frozen image encoders and LLMs, shown on brain MRI.
ImagingLanguage model35OpennessPMC-CLIP
241——Biomedical vision-language model trained contrastively on 1.6M figure-caption pairs mined from PubMed Central open-access articles.
PathologyImaging63OpennessCheXzero
234527—Self-supervised vision-language model for zero-shot detection of chest X-ray pathologies, trained on image-report pairs without explicit labels.
ImagingPathology70OpennessMed3D
2.2K681—Pretrained 3D-ResNet backbones for volumetric medical image analysis, co-trained across eight CT and MRI segmentation datasets for transfer learning.
Imaging75Openness