All Competitors

Broad-spectrum antiviral screening framework pairing a pretrained molecular encoder with ESM-2 embeddings for phenotype- and target-based prediction.

Chest X-ray vision-language model that drafts the findings section of a radiology report, at 7B parameters small enough to run on a single GPU.

scVI variational autoencoder trained on the Tahoe-100M drug-perturbation atlas, giving a 10-dimensional embedding of treated cancer cell states.

Vision-language foundation model for fetal ultrasound, pretrained on 210,035 image-text pairs for plane classification, biometry, and segmentation.

Instruction-tuned LLMs for multi-property molecule optimization, rewriting a hit compound to improve three or more drug properties at once.

Protein conformational ensemble generator conditioned on backbone geometry alone, sampling MD-like dynamics without MSAs or a folding model.

Protein language models evotuned on influenza A hemagglutinin, with a pLM entropy metric scoring per-site conservation from a single input sequence.

mRNA foundation model pairing Mamba-2 state-space and attention layers to read full-length transcripts at single-nucleotide resolution.

Whole-slide pathology embedding framework that ranks tiles, keeps only the 25 most informative, and encodes a slide in 2.27 seconds.

3D molecule generation that writes a valid 1D SELFIES string with a pretrained language model, then predicts its conformer with a diffusion module.

Functional genomics models predicting RNA-seq, CAGE, and DNase coverage tracks from DNA sequence using striped bidirectional Mamba and attention.

Antibody-aware B-cell epitope prediction from a graph convolutional network over frozen antibody and antigen protein language model embeddings.

Fixed-backbone protein sequence design that co-generates amino acid identity and sidechain conformation, with 49.7% sequence recovery on CATH 4.2.

Generative diffusion model that reassembles dissociated single cells into tissues, predicting spatial coordinates from gene expression alone.

Protein function annotation that reshapes language model embeddings with a neural-collapse loss so rare EC, Pfam, and GO classes stay separable.

Multimodal small-molecule foundation model contrastively pretrained over SMILES, molecular graphs, and fingerprints for antibiotic screening.

RNA-RNA interaction prediction framework that scores pairing between long transcripts directly from sequence using Nucleotide Transformer embeddings.

MSA-free structure prediction for TCR-peptide-MHC complexes, pairing a protein-protein-interaction language model with a flexible docking module.

Long-range DNA language model interleaving attention with Mamba2 state-space layers to read 131kb of sequence at single-nucleotide resolution.

Cell-free DNA methylation deconvolution at individual-read resolution, estimating cell-type proportions and condition-specific methylation profiles.

Enzyme kcat and KM prediction from sequence and substrate SMILES, binned by order of magnitude so catalytic-site mutations shift the prediction.

Disordered protein ensemble prediction from sequence, generating hundreds of conformers in seconds via latent diffusion over distance maps.

ECG foundation model that treats heartbeats as words and rhythm strips as sentences, using heartbeat-level tokenization for diagnostic classification.