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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Principais autores:	HuiYing Shi, JiaMing Sun, HuiMin Wei, Jun Tang, XiaoLei Zhou, HongSa Li, JiongRan Wang, LiFeng Li, Fang Sun, JunWei Zhao, ShuLin Zhang
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2026-04-01
Serija:	Respiratory Research
Teme:	Non-small cell lung cancer Machine learning Serum proteomics Metabolite SHAP analysis
Online dostop:	https://doi.org/10.1186/s12931-026-03686-3
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