Tencent AI Lab

Multimodal, multidomain, multilingual medical foundation model that performs zero-shot clinical diagnosis and report generation from chest X-ray and CT images across English and Chinese.

Deep graph contrastive learning framework for single-cell proteomics embedding, handling peptide uncertainty, missingness, and batch effects.

A GPT-based foundation model pre-trained on 200B+ base pairs from mammalian genomes, supporting DNA sequence generation, classification, and regression.

Pre-trained large generative model that translates single-cell transcriptomes to proteomes, inferring missing single-cell protein abundance from RNA expression without alignment.

Pretrained transformer for cell type annotation of scRNA-seq data. Trained on 1.1M cells; outperforms supervised methods on cross-dataset transfer.

Pretrained 3D-ResNet backbones trained on aggregated multi-domain medical segmentation data, released as transfer-learning weights for volumetric medical image analysis.