The goal of the iDoc is to develop AI-based methods for the application to digital and molecular pathology datasets to improve the prognostication of cancer patients. The main focus will be on the following two work streams (WS), both balancing method development and translational application: WS1 (DigPathWays) aims to generate novel approaches to investigate the gene expression patterns in cancer tissue at single-cell resolution and in a spatially resolved manner using clinically established histopathology images.
WS2 (Morpho-molecular pathology) will focus on developing and applying image-based classifiers for molecular subtypes based on DNA mutations in oncogenic driver genes using clinical trial samples of the PORTEC EC cohort.