Sir Run Run Shaw Hospital

Cancer-registry encoder pretrained by masked field-value modelling on 9.4M SEER tumour records, carrying survival signal into unseen rare cancers.

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

Virtual staining from H&E histology to immunohistochemistry, using a Schrödinger bridge trained on unpaired slides with a topology-preserving term.

Cell-free RNA language model for multi-cancer detection, classifying plasma samples straight from raw sequencing reads without gene annotation.