Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 49–72 of 2335 models
Histopathology foundation model for uterine malignancies that orders whole-slide morphology into continuous, progression-associated tumor states.
Transformer U-Net pretrained on 6 trillion tokens of multi-species DNA, predicting expression and epigenomic tracks across 1 Mb of context.
Biomolecular sequence-structure co-design that plans over frozen folding and inverse-folding models with Monte Carlo tree search, training nothing.
Normative foundation model for structural brain MRI that scores how far each of 218 anatomical parcels departs from healthy aging.
Peptide-focused instruction-tuned LLM that describes function, designs sequences, predicts eight bioactivity properties and edits physicochemistry.
Cell-level pathology foundation model that types every nucleus on a routine H&E slide, supervised by paired Xenium spatial transcriptomics.
Contrastive encoder aligning NMR metabolomics to the plasma proteome, adding proteome-level disease risk signal to cohorts with no proteomics.
Sleep staging from one behind-the-ear electrode pair, feeding automated REM-sleep-without-atonia scoring and REM sleep behaviour disorder detection.
Medical imaging foundation model unifying pathology and radiology, serving classification and segmentation on 2D, 3D and gigapixel inputs.
Sequence-conditioned generative framework that reconstructs missing prostate MRI contrasts and restores artefact-degraded acquisitions.
Self-supervised stereo-EEG encoder that localizes the seizure onset zone in drug-resistant epilepsy from peri-ictal superlet spectrograms.
RNA inverse folding model conditioned on a context-free-grammar parse tree of the target secondary structure, with explicit GC-content control.
Single-molecule localisation microscopy analyser that infers interpretable structural descriptors and regenerates matched synthetic datasets.
Olfactory receptor-odorant interaction prediction from sequence and SMILES, pairing protein and chemical language models through cross-attention.
Conformational ensemble generation between two anchor structures, mixing inverse-folding probabilities to prompt a frozen structure predictor.
Graph transformer VAE that encodes ligand binding sites into latent point clouds, turning template search into a Chamfer distance lookup.
Single-cell perturbation model that generates a transcriptome gene by gene, letting a regulatory-network policy choose which genes come first.
Protein druggability classification from sequence alone, stacking a self-attentive BiLSTM and Transformer encoder on frozen ESM-2 embeddings.
Infers gene-centered chromatin interactions from bulk RNA-seq alone, mapping 3D genome changes across 12,347 tumor and normal transcriptomes.
Brain MRI morphometry framework turning one T1w scan into 13 descriptors and a normative deviation profile shared across 19 clinical diagnoses.
Hierarchical Enzyme Commission number annotation mapping frozen ESM-2 embeddings onto Random Forest classifiers, at 0.90 weighted F1 on 4-digit EC.
Single-cell cytometry model that tokenizes each cell as marker-expression pairs, letting studies with different antibody panels share one encoder.