Artificial neural network systems to predict the response to sintilimab in squamous-cell non-small-cell lung cancer based on data of ORIENT-3 study

The four ANN systems showed high accuracy, robustness and stability in predicting the response to sintilimab for patients with sqNSCLC.

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Publication Details

Journal
Cancer Immunology Immunotherapy
Published
2024-12-21
DOI
https://doi.org/10.1007/s00262-024-03886-0
Citations
2
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.57

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article

Artificial neural network systems to predict the response to sintilimab in squamous-cell non-small-cell lung cancer based on data of ORIENT-3 study

Puyuan Xing, Le Tang, Tongji Xie, Guangyu Fan et al.
2 citations
Cancer Immunology Immunotherapy
Cancer Immunotherapy and Biomarkers
0.57
article

Artificial neural network systems to predict the response to sintilimab in squamous-cell non-small-cell lung cancer based on data of ORIENT-3 study

Puyuan Xing, Le Tang, Tongji Xie, Guangyu Fan, Yuankai Shi
article en
2 citations

Abstract

The four ANN systems showed high accuracy, robustness and stability in predicting the response to sintilimab for patients with sqNSCLC.

Cancer Immunology ImmunotherapyVol. 74(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
Innovent Biologics
Good health and well-being
Openalex Percentile: Top 26%
Cancer Immunotherapy and Biomarkers
0.57
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