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Multitask machine learning-based tumor-associated collagen signatures predict peritoneal recurrence and disease-free survival in gastric cancer.

Meiting FuYuyu LinJunyao YangJiaxin ChengLiyan LinGuangxing WangChenyan LongShuoyu XuJianping LuGuoxin LiJun YanGang ChenShuangmu ZhuoDexin Chen
Published in: Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association (2024)
The multitask machine learning model allows accurate prediction of peritoneal recurrence and survival for GC and could distinguish patients who might benefit from adjuvant chemotherapy.
Keyphrases
  • free survival
  • machine learning
  • artificial intelligence
  • big data
  • deep learning
  • gene expression
  • gas chromatography
  • mass spectrometry
  • tandem mass spectrometry