Nanjing University

Renal tumor histopathology model that detects tissue regions, classifies nine subtypes, grades nuclei and scores prognosis from a single H&E slide.

Antibody CDR design model post-trained by on-policy distillation, cutting RAbD CDR-H3 backbone RMSD from 2.37 Å to 1.95 Å.

Text-guided localization model that grounds natural-language functional descriptions to specific residue regions of a protein sequence.

Diffusion-based generative RNA model for de novo sequence design, conditioned on function, RNA family, structure, or binding proteins.

Tri-modal foundation model unifying histology images, spatial transcriptomics, and language for zero-shot pathology and spatial biology reasoning.

Enzyme design model that jointly generates enzyme sequences and substrate-binding pockets, conditioned on functional priors and substrate structure.

Retrieval-augmented diffusion model for protein inverse folding that conditions sequence generation on profiles from structurally similar homologs.

Spectroscopy-grounded molecular foundation model that reads NMR, IR, and mass spectra as text, elucidating structures and generating 3D conformers.

Compact 1.1M-parameter DNA language model distilled from Nucleotide Transformer v2, outperforming its 500M teacher on 11 of 18 benchmark tasks.

Reasoning LLM for single-cell type annotation, mapping per-cell expression to labels with marker-by-marker chains of thought on one GPU.

Multimodal diffusion protein language model co-generating sequence and structure. Bit-level structure supervision cuts folding RMSD from 5.52 to 2.36.

Multimodal discrete-diffusion protein language model that co-generates amino acid sequence and 3D backbone structure from a single transformer.

Protein language model reading each residue alongside an unsupervised local-fragment token, so one encoder serves residue- and chain-level tasks.