Huawei

Histopathology foundation model for whole-slide cancer diagnosis, covering 19 common cancer types and 205 clinical diagnostic tasks.

Lightweight histopathology model of 2 million parameters that runs on an ordinary hospital PC alongside a cloud model for cancer diagnosis.

RNA language model transfer-trained from ESM-2 via a pseudo-protein alphabet mapping, outperforming 12 RNA language models in zero-shot evaluation.

Histopathology foundation model for whole-slide cancer diagnosis, with a ViT-L encoder pretrained by DINOv2 on a million-slide hospital archive.

Grounded multimodal language model for endoscopic surgery, supporting visual dialogue, region-based question answering, and bounding-box grounding.

Protein complex structure prediction conditioned on sparse restraints from crosslinking, covalent labeling, NMR shifts and mutational scans.