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

PURPOSE: Biomarkers on the basis of tumor-infiltrating lymphocytes (TIL) are potentially valuable in predicting the effectiveness of immune checkpoint inhibitors (ICI). However, clinical application remains challenging because of methodologic limitations and laborious process involved in spatial ana...

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Detalles Bibliográficos
Autores principales: Park, Sehhoon, Ock, Chan-Young, Kim, Hyojin, Pereira, Sergio, Park, Seonwook, Ma, Minuk, Choi, Sangjoon, Kim, Seokhwi, Shin, Seunghwan, Aum, Brian Jaehong, Paeng, Kyunghyun, Yoo, Donggeun, Cha, Hongui, Park, Sunyoung, Suh, Koung Jin, Jung, Hyun Ae, Kim, Se Hyun, Kim, Yu Jung, Sun, Jong-Mu, Chung, Jin-Haeng, Ahn, Jin Seok, Ahn, Myung-Ju, Lee, Jong Seok, Park, Keunchil, Song, Sang Yong, Bang, Yung-Jue, Choi, Yoon-La, Mok, Tony S., Lee, Se-Hoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2022
Materias:
ORIGINAL REPORTS
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9177249/
https://www.ncbi.nlm.nih.gov/pubmed/35271299
http://dx.doi.org/10.1200/JCO.21.02010

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9177249/
https://www.ncbi.nlm.nih.gov/pubmed/35271299
http://dx.doi.org/10.1200/JCO.21.02010

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