Shijun Yang

No ORCID on file · 1 paper in corpus

diagnostic-accuracy 2026

Artificial intelligence-driven integration of multi-biofluid omics and clinical phenotype enables stratification of endometrial cancer

Cell reports. Medicine ·doi:10.1016/j.xcrm.2026.102805

Endometrial cancer (EC) incidence is rising, yet current diagnostics lack precision and scalability. We develop an artificial intelligence (AI)-based platform integrating multi-biofluid omics and clinical data for EC stratification. Using t…