Keratins, Type II

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A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapy.

PloS one Oct 2, 2019
PURPOSE: Development of a supervised machine-learning model capable of predicting clinically relevant molecular subtypes of pancreatic ductal adenocarcinoma (PDAC) from diffusion-weighted-imaging-derived radiomic features.
Humans Machine Learning Retrospective Studies Female Adult Survival Rate Sensitivity and Specificity Male Middle Aged Antineoplastic Combined Chemotherapy Protocols Oxaliplatin Pancreatic Neoplasms Neoplasm Proteins Fluorouracil Carcinoma, Pancreatic Ductal Disease-Free Survival Deoxycytidine Gemcitabine Irinotecan Keratins, Hair-Specific Keratins, Type II Leucovorin
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