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Plasma proteomic profiles predict chronic obstructive pulmonary disease up to 16 years before onset: a multi-national, machine learning-guided biomarker discovery study

2026-03-08

Abstract excerpt

<title>Abstract</title> <p>Chronic obstructive pulmonary disease (COPD) remains a major public health burden, yet early risk prediction remains limited. Using Cox regression and multi-machine learning, we analyzed plasma proteomic data from 36,906 UK Biobank participants and identified nine proteins including GDF15, WFDC2, SCGB1A1, CXCL17, CA14, EDA2R, TNR, AGER, and ODAM. The 9-protein model achieved high accura...

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Literature Corpus work
c192220a-805a-5855-a528-402ee324d121
DOI
10.21203/rs.3.rs-8467239/v1
Open publication

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Plasma proteomic profiles predict chronic obstructive pulmonary disease up to 16 years before onset: a multi-national, machine learning-guided biomarker discovery studyDOI 10.21203/rs.3.rs-8467239/v1
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