All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 145–158 of 158 filtered models
UCE
312174—Single-cell foundation model producing species-agnostic cell embeddings by representing genes through frozen ESM-2 protein language model embeddings.
Single-cell65OpennessCellSAM
20843—Universal cell segmentation model adapting Meta's SAM to segment mammalian cells, yeast, and bacteria across imaging modalities without retraining.
Imaging32OpennessSAM-Med3D
944182—Fully 3D promptable segmentation foundation model for volumetric CT and MR, encoding whole volumes so anatomy can be segmented from one prompt point.
Imaging96OpennessCLIP-Driven Universal Model
677356—Abdominal CT segmentation model driven by CLIP text embeddings, covering 25 organs and 6 tumor types with zero-shot extension to new categories.
Imaging26OpennessUniBrain
39183—Vision-language pre-training framework for universal brain MRI diagnosis, learning from imaging-report pairs to cover more than ten brain diseases.
Imaging35OpennessBrainLM
18130—Yale University +2 othersSeptember 12, 2023brain_state_forecastingclinical_variable_predictionfmri+7fMRI foundation model pretrained with masked autoencoding on roughly 6,700 hours of recordings for clinical prediction and network discovery.
Biosignals25OpennessSAM-Med2D
1.1K258—Medical imaging adaptation of the Segment Anything Model, fine-tuned on 4.6M images and 19.7M masks for promptable segmentation across 10 modalities.
Imaging82OpennessPLIP
38283145.1KVision-language foundation model for pathology, fine-tuned from CLIP on 208,414 image-text pairs for zero-shot classification and image retrieval.
Imaging25OpennessMed-PaLM M
—552—Google's generalist multimodal biomedical AI that encodes clinical text, medical images, and genomics with a single set of weights across 14 tasks.
ImagingLanguage model25OpennessTULIP
1343—Unsupervised transformer language model for TCR-epitope binding prediction that generalizes to unseen epitopes without needing negative examples.
Protein60OpennessMedBLIP
5789—Vision-language framework for 3D medical image diagnosis and visual question answering, bridging frozen image encoders and LLMs, shown on brain MRI.
ImagingLanguage model35OpennessBiomedCLIP
128665878.5KBiomedical vision-language model trained contrastively on 15M PubMed Central figure-caption pairs for zero-shot classification, retrieval, and VQA.
Imaging61OpennessCheXzero
234527—Self-supervised vision-language model for zero-shot detection of chest X-ray pathologies, trained on image-report pairs without explicit labels.
ImagingPathology70Openness