All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–13 of 13 filtered models
- University of North Carolina at Chapel HillOctober 21, 2025behavior_predictionbrain_connectomedisease_diagnosis+6
A 1.2B-parameter fMRI foundation model of brain connectomes that uses brain-environment interaction tokens and multitask learning for behavior and disease prediction.
Biosignals26Openness DenseFormer-MoE
—24—A self-supervised foundation model for structural brain MRI combining DenseNet and Vision Transformer with Mixture of Experts for multi-task brain disease diagnosis and brain age prediction.
Imaging8OpennessNeuroSTORM
1133—A spatiotemporal foundation model that learns generalizable representations directly from 4D functional MRI volumes for diverse brain-imaging tasks.
ImagingBiosignals78OpennessMed-R1
126125—A reinforcement-learning-trained medical vision-language model for generalizable reasoning across eight imaging modalities and five clinical question types.
ImagingLanguage model45OpennessA foundational fMRI model that learns brain dynamics via stochastic optimal control, pretrained self-supervised on resting-state scans from 41,072 UK Biobank subjects.
Biosignals8OpennessBrainfound
—3—Tsinghua University +2 othersJanuary 10, 2025contrastive_learningcross_modality_translationdiffusion+9A multimodal vision-text foundation model for brain CT and MRI, pretrained on ~10M paired images and reports to act as a clinical copilot across seven imaging tasks.
ImagingLanguage model7OpennessBrain-JEPA
16869—A fMRI brain-dynamics foundation model that adapts the Joint-Embedding Predictive Architecture with brain gradient positioning and spatiotemporal masking.
BiosignalsImaging18OpennessAnatCL
1518—Anatomical foundation models for brain MRI, pretrained with weakly supervised contrastive learning over cortical anatomy for diagnosis and clinical score prediction.
Imaging71OpennessEyeFound
—40—The Hong Kong Polytechnic University +3 othersMay 18, 2024disease_diagnosisfoundation_modelmasked_autoencoder+7A multimodal generalist foundation model for ophthalmic imaging, self-supervised on 2.78M images across 11 modalities for diagnosis, prognosis, and visual question answering.
Imaging4OpennessBrainMass
2550—Self-supervised foundation model for functional brain network analysis from fMRI, pretrained on ~70K samples across 30 datasets for disorder diagnosis.
Biosignals18OpennessBrainWave (Brant-2)
4728—Foundation model spanning both invasive (SEEG/iEEG) and non-invasive (EEG) brain recordings, enabling zero- and few-shot transfer across neurological disorders.
Biosignals10OpennessRadFM
553227—A generalist radiology foundation model that handles interleaved 2D and 3D medical scans with text for diagnosis, VQA, and report generation.
ImagingLanguage model84OpennessHeartBEiT
25111—A BEiT vision transformer pretrained on 8.5M 12-lead ECG images via masked image modeling, excelling at low-data-regime cardiac diagnosis.
Biosignals30Openness