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 Braren

Published 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.

Keyphrases

machine learning
locally advanced
rectal cancer
squamous cell carcinoma
artificial intelligence
radiation therapy
big data
deep learning
case report
single molecule
free survival
chemotherapy induced