All Competitors

BERT-Large pretrained on the BREATHE literature corpus for biomedical question answering and embedding-based re-ranking of literature search.

Generalist deep learning algorithm for cell and nucleus instance segmentation using simulated diffusion flows, without per-dataset retraining.

Multi-organ and tumor segmentation in 3D abdominal CT from a single network whose segmentation kernels are generated per task by a controller.

Chemical language model pretrained on up to 77 million PubChem SMILES strings for molecular property prediction on the MoleculeNet benchmarks.

Chinese biomedical text encoder pretrained by masking whole medical entities and phrases, lifting clinical entity recognition and query understanding.

Cross-species convolutional network trained jointly on human and mouse genomes to predict regulatory sequence activity and noncoding variant effects.

Biomedical language model pretrained from scratch on PubMed abstracts with a WordPiece vocabulary derived from biomedical text rather than the web.

Sparse attention transformer that extends BERT to 8x longer sequences via random, local, and global attention, with genomic sequence applications.

Protein model accuracy estimation predicting per-residue lDDT plus signed residue-pair distance errors that become Rosetta refinement restraints.

RNA virtual screening that reads a binding site's base-pairing graph and predicts the chemical fingerprint of its ligand to rank compound libraries.

Brain MRI segmentation model that labels an entire 7T T1w volume in a single pass, returning six tissue classes plus background in seconds.

Molecular graph transformer pretrained on 11 million unlabelled compounds, used as a frozen fingerprint source or fine-tuned for property prediction.

Protein language model over byte-pair-encoded amino acid tokens, fine-tuned for protein family classification and binary interaction prediction.

Glomerulus and nuclei detection in whole-slide pathology images, predicting a bounding circle rather than a box for rotation-consistent localization.

Peptide retention time prediction for LC-MS/MS proteomics, from a genetic-algorithm search over convolutional and bidirectional GRU architectures.

Self-supervised 3D pretrained models for CT and MRI that learn anatomical representations from unlabeled volumes and transfer to segmentation tasks.

RNA-binding protein target site prediction from 1,000 bp of sequence, scoring how a noncoding variant disrupts binding across 88 RBPs.

Pretrained 3D-ResNet backbones for volumetric medical image analysis, co-trained across eight CT and MRI segmentation datasets for transfer learning.

Protein language model using a multiplicative LSTM over 24 million UniRef50 sequences to produce fixed-length embeddings for protein engineering.

Molecular descriptor model that embeds compounds into a continuous 512-dimensional space by translating between equivalent chemical line notations.

3D convolutional network that predicts subcellular fluorescence labels from transmitted-light microscopy, enabling label-free imaging of living cells.

Antibody paratope prediction model that identifies antigen-contacting residues from heavy and light CDR sequences alone, using CNN and RNN layers.

Tissue-specific gene expression prediction from DNA sequence, scoring a noncoding variant as the log fold change it causes in each of 218 tissues.