Login / Signup

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