Artificial Intelligence-Powered Spatial Analysis of Tumor-Infiltrating Lymphocytes as Complementary Biomarker for Immune Checkpoint Inhibition in Non-Small-Cell Lung Cancer.

Sehhoon Park Chan-Young Ock Hyojin KimSergio PereiraSeonwook Park Minuk Ma Sangjoon Choi Seokhwi Kim Seunghwan Shin Brian Jaehong AumKyunghyun PaengDonggeun YooHongui ChaSunyoung ParkKoung Jin SuhHyun Ae Jung Se Hyun Kim Yu Jung Kim Jong-Mu Sun Jin-Haeng ChungJin Seok AhnMyung-Ju AhnJong Seok LeeKeunchil ParkSang Yong SongYung-Jue Bang Yoon-La Choi Tony S K Mok Se-Hoon Lee

Published in: Journal of clinical oncology : official journal of the American Society of Clinical Oncology (2022)

The AI-powered spatial analysis of TIL correlated with tumor response and progression-free survival of ICI in advanced NSCLC. This is potentially a supplementary biomarker to TPS as determined by a pathologist.

Keyphrases

artificial intelligence
free survival
machine learning
big data
deep learning
small cell lung cancer
peripheral blood
advanced non small cell lung cancer