All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–24 of 203 filtered models
LEAF-1
———Genomics foundation model that represents individual DNA fragments in a learned semantic space for cell-free DNA cancer detection and cell typing.
DNA & GeneSingle-cell4OpennessRNArefine
1——National University of Singapore +2 othersJune 29, 2026cryo_emgraph_neural_networkrepresentation_learning+2Atomic-level refinement of RNA 3D structures, using geometric attention networks to guide physics-based Monte Carlo sampling and L-BFGS optimization.
RNA32OpennessPertOmni
—1—Contrastive multimodal model for perturbation screens, aligning transcriptomic signatures with text and cell-painting image embeddings.
Single-cellSmall molecule18OpennessZAO
———Molecular foundation model that turns SMILES into 2048-dimensional embeddings from multiple 3D conformations for ADMET and virtual screening.
Small molecule16OpennessV3Cell
———Xinjiang Technical Institute of Physics and Chemistry +2 othersJune 24, 2026cell_biologydrug_discoverygenerative+4Vision-guided model that builds virtual 3D organoid surrogates from brightfield microscopy to predict chemical perturbation responses without omics.
ImagingPathology4Openness- Max Delbrück Center for Molecular MedicineJune 24, 2026gene_expressiongenerativerepresentation_learning+4
Supervised variational autoencoder that learns a tissue-aware latent space for bulk RNA-seq, trained on harmonized TCGA, GTEx, and ARCHS4 data.
RNA84Openness Self-supervised 3D masked autoencoder for volumetric fluorescence microscopy, aligned to ESM2 embeddings to predict protein localization.
ImagingSingle-cell71OpennessEventHorizon
———ARUP Laboratories +1 otherJune 22, 2026cell_type_annotationdiagnostic_classificationflow_cytometry+6Self-supervised foundation model for clinical flow cytometry, producing panel-agnostic specimen-level representations from multi-panel data.
BiosignalsSingle-cell4OpennessTox21mer
———National Institute of Environmental Health SciencesJune 15, 2026embeddingsfoundation_modelrepresentation_learning+2Toxicity screening foundation model that encodes Tox21 concentration-response curves and assay metadata into reusable 768-dimensional embeddings.
Small moleculeBiosignals23OpennessRepGene
———Gene representation framework fusing DNA, transcript, protein, text, and single-cell embeddings into one latent space that survives missing views.
DNA & GeneProteinSingle-cell22OpennessRDiffusion
———Diffusion-based generative RNA model for de novo sequence design, conditioned on function, RNA family, structure, or binding proteins.
RNA5OpennessHoloCell
———860M-parameter generative single-cell foundation model that jointly represents and generates epigenomic, transcriptomic, and proteomic modalities.
Single-cellDNA & Gene21OpennessTifBERT
2——Bulk RNA-seq foundation model learning normalization-robust transcriptome representations via TF-IDF gene ordering and masked gene modeling.
RNA17OpennessDaX
2——Pathology vision foundation model adapting DINOv3 self-supervised learning to whole-slide histopathology across many magnifications and scales.
Pathology11OpennessReCLIP
———University of Chicago +2 othersJune 4, 2026multi_taskprotein_protein_interaction_predictionproteomics+4Transformer that predicts protein-protein interactions at residue resolution, spanning mutations, PTMs, peptide-MHC binding, and disease variants.
Protein22OpennessFlashABB
19——Oxford Protein Informatics Group (OPIG)June 4, 2026antibodydevelopability_predictionfoundation_model+4Pretrained antibody structure predictor that outputs full paired heavy/light 3D structures faster than protein language models generate embeddings.
Protein54OpennessLDARNet
41—Genomic foundation model with 120M parameters that learns adaptive DNA token boundaries by dynamic chunking, not fixed k-mer or byte-pair tokens.
DNA & Gene26OpennessCryoProt
———Protein representation learning from cryo-EM density maps, transferring to flexibility, active-site, binding-affinity, and stability tasks.
ImagingProtein11OpennessTESSERA
5——Self-supervised foundation model that embeds cancer genomes from somatic SNVs and copy-number alterations across 33 tumor types for tumor subtyping.
DNA & Gene28OpennessTxFM
2——Transcriptomics foundation model from Recursion that masks and reconstructs RNA-seq gene expression counts to learn reusable sample embeddings.
Single-cell12OpennessGlucoFM
—2—Google Research +1 otherMay 29, 2026continuous_glucose_monitoringfoundation_modelglucose_forecasting+4Self-supervised foundation model for continuous glucose monitoring, with dual streams separating slow physiological state from transient events.
Biosignals11OpennessGenBloom
3——Genetically aligned foundation model for blood smear cytology that links single-cell morphology to the chromosomal aberrations behind AML and APL.
Pathology65Openness