A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapy.
Georgios A KaissisSebastian ZiegelmayerFabian LohöferKatja SteigerHana AlgülAlexander MuckenhuberHsi-Yu YenErnst RummenyHelmut FriessRoland SchmidWilko WeichertJens T SivekeRickmer BrarenPublished in: PloS one (2019)
The machine-learning based analysis of radiomic features enables the prediction of subtypes of PDAC, which are highly relevant for disease-free and overall patient survival and response to chemotherapy.