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Integration of blood protein-metabolic profiles via machine learning to enable the accurate early detection of non-small cell lung cancer

Abstract Background Non-small cell lung cancer (NSCLC) poses a major threat to human health due to its high morbidity and mortality. Early accurate diagnosis and differential diagnosis from other respiratory diseases, are pivotal to improving patient prognosis. This study aimed to construct an NSCLC...

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Hoofdauteurs: HuiYing Shi, JiaMing Sun, HuiMin Wei, Jun Tang, XiaoLei Zhou, HongSa Li, JiongRan Wang, LiFeng Li, Fang Sun, JunWei Zhao, ShuLin Zhang
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: BMC 2026-04-01
Reeks:Respiratory Research
Onderwerpen:
Non-small cell lung cancer
Machine learning
Serum proteomics
Metabolite
SHAP analysis
Online toegang:https://doi.org/10.1186/s12931-026-03686-3
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