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A deep‐learning retinal aging biomarker for cognitive decline and incident dementia

1 Mar 2025

Abstract excerpt

INTRODUCTION: The utility of retinal photography-derived aging biomarkers for predicting cognitive decline remains under-explored. METHODS: A memory-clinic cohort in Singapore was followed-up for 5 years. RetiPhenoAge, a retinal aging biomarker, was derived from retinal photographs using deep-learning. Using competing risk analysis, we determined the associations of RetiPhenoAge with cognitive decline and...

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PMID: 40042460
DOI: 10.1002/alz.14601

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