A deep learning-based system for survival benefit prediction of tyrosine kinase inhibitors and immune checkpoint inhibitors in stage IV non-small cell lung cancer patients: A multicenter, prognostic study

BACKGROUND: For clinical decision making, it is crucial to identify patients with stage IV non-small cell lung cancer (NSCLC) who may benefit from tyrosine kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICIs). In this study, a deep learning-based system was designed and validated using p...

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Detalles Bibliográficos
Autores principales: Deng, Kexue, Wang, Lu, Liu, Yuchan, Li, Xin, Hou, Qiuyang, Cao, Mulan, Ng, Nathan Norton, Wang, Huan, Chen, Huanhuan, Yeom, Kristen W., Zhao, Mingfang, Wu, Ning, Gao, Peng, Shi, Jingyun, Liu, Zaiyi, Li, Weimin, Tian, Jie, Song, Jiangdian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9256845/
https://www.ncbi.nlm.nih.gov/pubmed/35813093
http://dx.doi.org/10.1016/j.eclinm.2022.101541

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9256845/
https://www.ncbi.nlm.nih.gov/pubmed/35813093
http://dx.doi.org/10.1016/j.eclinm.2022.101541

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