V. Paradis

Self-supervised learning to predict intrahepatic cholangiocarcinoma transcriptomic classes on routine histology

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.

PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides

PACpAInt uses deep learning to identify molecular subtypes of pancreatic adenocarcinoma on histology slides, revealing prognostic heterogeneity and novel subtypes.

Deleting in vivo β-catenin degradation domain in mouse hepatocytes drives hepatocellular carcinoma or hepatoblastoma-like tumors

This study compares two mouse models of β-catenin pathway activation, showing they generate tumors similar to human hepatocellular carcinomas and hepatoblastomas.