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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1345–1368 of 2336 models
Cell Painting image encoder that turns whole-slide multi-channel microscopy into morphological profiles in one pass, with no cell segmentation step.
Vision-language model that drafts case-level pathology reports for cutaneous melanocytic lesions and retrieves slides and reports across modalities.
2B-parameter medical vision-language model that uses reinforcement learning to show interpretable reasoning for radiology visual question answering.
Non-coding RNA language model using masked discrete diffusion to unify sequence generation with representation learning, trained on 30M ncRNAs.
Whole-brain axon and soma segmentation foundation model and registration pipeline for developmental connectomics, with no per-stage retraining.
DNA barcode foundation model whose masked-autoencoder pretraining keeps mask tokens out of the encoder, for arthropod taxonomic classification.
Brain-to-text decoder that reconstructs typed sentences from non-invasive MEG and EEG brain recordings using a CNN, transformer, and language model.
Graph deep learning framework fusing frozen protein language model embeddings with structure graphs to predict per-residue flexibility in antibodies.
Inverse molecular design conditioned on transcriptomics, generating small molecules intended to revert a diseased cell to a healthy expression state.
Protein language model that distills structure tokens into ESM2, yielding structurally enriched embeddings from sequence input alone.
Chromatin signal prediction that fuses reference DNA with per-nucleotide ATAC-seq, calling CTCF and histone marks in any cellular context.
Single-cell DNA methylation foundation model capturing genome-wide CpG dependencies in whole-genome bisulfite sequencing across tissues and species.
Histology-anchored framework pairing an H&E foundation model with a cellular hypergraph to predict single-cell multi-omics from tissue images.
Protein melting temperature prediction from sequence, pairing frozen ESM2 embeddings with growth-temperature and thermophilicity features.
Sequence-to-chromatin models for cattle, chicken, pig, and Atlantic salmon that score the regulatory impact of non-coding variants genome-wide.
Single-channel EEG tokenizer that learns a discrete vocabulary of time-frequency motifs, usable as a front end for existing EEG foundation models.
Genomic foundation model trained on 9.3 trillion DNA base pairs across all domains of life, with 40B parameters and a 1-million-token context.
Flow matching model for de novo 3D peptide design that converges peptide position before conformation, mirroring the physical order of docking.
Refines AlphaFold2 predictions against cryo-EM, cryo-ET, and X-ray data by optimizing coevolutionary embeddings rather than atomic coordinates.
Protein-ligand affinity foundation model that embeds pockets and ligands in one space, unifying virtual screening with hit-to-lead optimization.
Semantic layout-guided 3D diffusion model that synthesizes thoracic CT volumes from a lung and nodule mask to expand lung cancer screening data.
Promptable 3D segmentation foundation model for whole-body PET, delineating organs and lesions from one or a few clicked points.