Non-Invasive Measurement Using Deep Learning Algorithm Based on Multi-Source Features Fusion to Predict PD-L1 Expression and Survival in NSCLC

BACKGROUND: Programmed death-ligand 1 (PD-L1) assessment of lung cancer in immunohistochemical assays was only approved diagnostic biomarker for immunotherapy. But the tumor proportion score (TPS) of PD-L1 was challenging owing to invasive sampling and intertumoral heterogeneity. There was a strong...

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Detalles Bibliográficos
Autores principales: Wang, Chengdi, Ma, Jiechao, Shao, Jun, Zhang, Shu, Li, Jingwei, Yan, Junpeng, Zhao, Zhehao, Bai, Congchen, Yu, Yizhou, Li, Weimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Immunology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022118/
https://www.ncbi.nlm.nih.gov/pubmed/35464416
http://dx.doi.org/10.3389/fimmu.2022.828560

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022118/
https://www.ncbi.nlm.nih.gov/pubmed/35464416
http://dx.doi.org/10.3389/fimmu.2022.828560

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