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Enhancing Glaucoma Research Accuracy: Contrasting Diagnostic and Treatment-Based Definitions in UK Biobank
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Enhancing Glaucoma Research Accuracy: Contrasting Diagnostic and Treatment-Based Definitions in UK Biobank

By MedXY|Jun 29, 2026

This study compares diagnostic-only versus combined diagnostic and treatment-based definitions of glaucoma in UK Biobank participants, revealing stronger associations of risk factors and severity biomarkers with definitions including treatm

Retinal Nerve Fiber Layer Thickness at 36 Weeks May Help Predict 2-Year Neurodevelopment in Very Preterm Infants
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Retinal Nerve Fiber Layer Thickness at 36 Weeks May Help Predict 2-Year Neurodevelopment in Very Preterm Infants

By MedXY|Jun 8, 2026

In very preterm infants, thicker retinal nerve fiber layer on OCT at 36 weeks’ postmenstrual age was associated with better motor and cognitive outcomes at 2 years, supporting retinal imaging as a potential early neurodevelopmental biomarke

Retinal OCT as an Early Window into Brain Development in Very Preterm Infants: Interpreting 36-Week Microanatomy for 2-Year Neurodevelopment
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Retinal OCT as an Early Window into Brain Development in Very Preterm Infants: Interpreting 36-Week Microanatomy for 2-Year Neurodevelopment

By MedXY|Jun 8, 2026

A new prospective cohort study suggests that retinal nerve fiber layer thickness on neonatal OCT at 36 weeks’ PMA may help predict 2-year motor and cognitive outcomes in very preterm infants.

Progression in Preperimetric Glaucoma Eyes With and Without Microvasculature Dropout
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Progression in Preperimetric Glaucoma Eyes With and Without Microvasculature Dropout

By MedXY|Jun 2, 2026

In preperimetric glaucoma, baseline microvasculature dropout on OCTA predicted faster capillary density loss and a higher risk of later visual field damage, suggesting it may help identify eyes needing closer follow-up.

Deep Learning Predicts Glaucoma Risk via Retinal Nerve Fiber Layer Thickness from Ocular Hypertension Photographs
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Deep Learning Predicts Glaucoma Risk via Retinal Nerve Fiber Layer Thickness from Ocular Hypertension Photographs

By MedXY|Oct 7, 2025

Deep learning models predicting RNFL thickness from optic disc photographs can identify ocular hypertension patients at higher risk for primary open-angle glaucoma, enhancing early risk assessment and monitoring disease progression.

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