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Artificial intelligence-powered spatial analysis of tumor-infiltrating lymphocytes as a predictive biomarker for immune checkpoint inhibitors in biliary tract cancer.

Yeong Hak BangChoong-Kun LeeKyunghye BangHyung-Don KimKyu-Pyo KimJae Ho JungInkeun ParkBaek-Yeol RyooDong Ki LeeHye Jin ChoiTaek ChungSeung Hyuck JeonEui-Cheol ShinChiyoon OumSeulki KimYoojoo LimGahee ParkChang Ho AhnTae-Bum LeeRichard S FinnChan-Young OckJinho ShinChanghoon Yoo
Published in: Clinical cancer research : an official journal of the American Association for Cancer Research (2024)
AI-powered IP based on spatial TIL analysis was effective in predicting the efficacy outcomes in patients with BTC treated with anti-PD-1.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • papillary thyroid
  • squamous cell
  • peripheral blood
  • squamous cell carcinoma
  • skeletal muscle
  • lymph node metastasis
  • adipose tissue