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

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.