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Veronica Diermayr, PhD, on AI-Driven Prediction of N256-Glycosylated CEACAM5/6 Expression in Gastric and Esophageal Cancer

ASCO 2026

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Veronica Diermayr, PhD, of EDCC and A*STAR, discusses the use of artificial intelligence (AI) driven strategy called H&E 2.0 in gastric and esophageal cancer. Researchers tested the feasibility of training deep-learning models on hematoxylin and eosin images of gastroesophageal carcinomas and their ability to predict EBC-129 antigen expression directly from these images. EBC-129 is an experimental antibody-drug conjugate that targets N256-glycosylated CEACAM5/6, which is highly expressed on solid tumors, including gastroesophageal cancers (Abstract 4018).



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