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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1393–1416 of 2336 models
Antibody chain pairing model that scores whether a heavy and a light chain are cognate partners, fine-tuned from an antibody-specific language model.
Antibody affinity maturation framework that steers flow-matching structure generation with a binding predictor, then mutates CDRs by inverse folding.
N-linked glycosylation site prediction stacking SVM, XGBoost, and KNN classifiers over ProtT5, ESM-2, and ProteinBERT sequence embeddings.
Medical vision-language model that unifies image comprehension and generation in one autoregressive transformer via heterogeneous LoRA adapters.
Metagenome misassembly detection and correction that renders read-to-contig alignments as multi-channel images scored by a contrastive CNN.
Absolute protein folding stability prediction that estimates ΔG by jointly modeling the folded and unfolded ensembles as residue-pair distograms.
Neural ODE model of protein network dynamics, pretrained on 38 million perturbed protein measurements for drug efficacy and synergy prediction.
Cervical cytology screening system pretrained on 127,471 whole-slide images from 48 centers, with test-time adaptation for new clinical sites.
Long-context generative genomic foundation model with a 98k-nucleotide window, trained on 386 billion bases of eukaryotic DNA for sequence design.
EEG foundation model pretrained by momentum contrastive learning and masked reconstruction, with a learnable channel mapping that unifies montages.
Unified science foundation model treating molecules, proteins, RNA, DNA, and materials as one sequence language, in 1B, 8B, and 46.7B sizes.
865M-parameter multimodal foundation model that fuses 3D low-dose chest CT with clinical data to answer 17 lung cancer screening questions.
Genomic foundation model for metagenomic annotation: a 500M-parameter bidirectional encoder calling coding regions at single-nucleotide resolution.
Antibody and TCR CDR sequence design by structure retrieval, matching query loops against solved CDR structures rather than generating residues.
Multi-omics foundation model that folds DNA, RNA, and protein into one codon-level nucleotide representation following the central dogma.
Pathology vision-language model that adds lightweight adaptors and multi-granular prompt learning for few-shot whole-slide image classification.
Nuclei detection and classification in histopathology whole slide images, replacing segmentation masks with direct transformer-based set prediction.
EEG foundation model built on bidirectional Mamba blocks that scale linearly with recording length, pretrained on 21,000 hours of clinical EEG.
Protein-conditioned RNA sequence and structure co-design, refining flow-matched backbones against Lennard-Jones and folding free-energy terms.
Binding free energy change prediction for antibody mutations, from a lightweight transformer that scores 10,000 variants in under five minutes.
Pan-tumour CT foundation model pretrained on 30,000 synthetic 3D scans carrying lesion masks and structured reports across ten organ systems.