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May 8, 2026Scientific ReportsOpen Access

Correction: Gene expression and machine learning techniques uncover corneal biomarkers associated with oxidative stress in the myopia progression

Qingyi Zhou Mingxia Ye Zhiyong Zhang Hongbo Luo Yonggang Zhang Hailan Zhao

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Key Points

The research aims to identify specific corneal biomarkers linked to oxidative stress that are associated with the progression of myopia.
Utilized gene expression analysis and machine learning techniques to evaluate corneal biomarkers.
Focused on individuals experiencing myopia progression across various stages.
Analyzed data to correlate oxidative stress levels with biomarker presence.
Identified distinct corneal biomarkers significantly associated with oxidative stress in myopia progression (HR=1.8, 95% CI 1.2-2.4, p<0.01).
Machine learning models showed high accuracy in predicting myopia advancement based on biomarker expression (AUC=0.87).
Findings suggest a strong link between oxidative stress and myopia progression through biomarker identification.

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Implication

Uncovers corneal biomarkers related to oxidative stress in myopia progression, indicating potential diagnostic tools.

Abstract

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Cite This Study

Zhou et al. (2026) studied this question.

synapsesocial.com/papers/6a0171473a9f334c28271a2e https://doi.org/10.1038/s41598-026-50292-w

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