Our team published INTELCAPE in Clinical Gastroenterology and Hepatology, an AI system for automated capsule endoscopy analysis that supports faster and more accurate Crohn’s …
Our team published MotifCC in Cancer Letters, a multi-omics immune classification framework for colorectal cancer that links tumor heterogeneity to prognosis and immunotherapy …
Our lab’s in-house large language model platform officially went live on March 12, 2026, and is now available to all lab members. The platform provides unlimited access to GPT 5.4 …
On March 6, 2026, our lab completed the relocation to our new site at 4th Floor, Building M3, Phase IV, Guangzhou International Bio Island. The move gives the lab a new base for …
Our lab’s new parallel storage system officially went online on January 21, 2026, adding 3PB of new capacity for data-intensive research workflows. With this upgrade, the lab now …
Our team published PCsRNAdb in Nucleic Acids Research, a comprehensive pan-cancer resource for studying small noncoding RNAs across tumor types. The database was built to support …
Our team introduced CRCFound in Advanced Science, a self-supervised colorectal cancer CT foundation model pretrained on large-scale unlabeled 3D CT data. CRCFound was …
Our team published SegMamba-V2 in IEEE Transactions on Medical Imaging, a general framework for long-range modeling in 3D medical image segmentation. The model extends Mamba-based …
Our team published PIANOS in Nature Communications to address a long-standing challenge in colorectal cancer prognosis: model instability across platforms and cohorts. PIANOS is a …
Our team reported Brim in Advanced Science, an interpretable multimodal fusion model for bridged histology-genomics survival prediction in pan-cancer. Brim is trained with both …