Nathalie Théou–Anton

The paper identifies distinct progression paths in pancreatic papillary cystic neoplasms using integrated transcriptomics and histology, enabling phenotype-specific prediction of high-grade dysplasia.

This paper develops a self-supervised learning model to predict iCCA transcriptomic classes from histological images, achieving good to very good performance in multiple validation sets.