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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2022
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Materias: | |
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 |
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