Integrated multi-dimensional deep neural network model improves prognosis prediction of advanced NSCLC patients receiving bevacizumab

Integrated multi-dimensional deep neural network model improves prognosis prediction of advanced NSCLC patients receiving bevacizumab

BackgroundThe addition of bevacizumab was found to be associated with prolonged survival whether in combination with chemotherapy, tyrosine kinase inhibitors or immune checkpoint inhibitors in the treatment landscape of advanced non-small cell lung cancer (NSCLC) patients. However, the biomarkers fo...

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Bibliographic Details
Main Authors: Butuo Li, Linlin Yang, Chao Jiang, Yueyuan Yao, Haoqian Li, Shuping Cheng, Bing Zou, Bingjie Fan, Linlin Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Oncology
Subjects:
bevacizumab
non-squamous NSCLC
prognosis prediction
deep learning
radiomics
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1052147/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1052147/full

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