Retinal imaging
Biomarker1 paper
Funding
National Eye InstituteUS$1.9mNational Institute on AgingUS$1.7mEuropean Commission€276.2k5 grants since 2023
Advanced Retinal Imaging of the CARDIA cohort
National Eye InstituteNorthwestern UniversityUS$1.3m2026–2031
Deep Learning-Based Retinal Imaging Screening Tool for Preclinical Alzheimer’s Disease
National Institute on AgingArizona State University-tempe CampusUS$655.9k2026–2031
National Eye InstituteNew York University School of MedicineUS$639.6k2025–2030
National Institute on AgingWayne State UniversityUS$1.1m2023–2028
European CommissionUniversity College London€276.2k2026–2028
Latest
40Exploratory Analysis of APOE ε4-Stratified Associations Between Plasma Alzheimer's Biomarkers and Retinal Imaging Metrics in Cognitively Normal Adults
Retinal vascular changes track mortality risk in humans
Increased retinal fractal dimension carried a mortality hazard ratio of 0.92 per standard deviation, whereas arteriolar widening carried a hazard…Increased retinal fractal dimension carried a mortality hazard ratio of 0.92 per standard deviation, whereas arteriolar widening carried a hazard ratio of 1.09.
Retinal asymmetry between eyes is linked to cardiovascular risk
Across 46,836 adults, each standard deviation increase in retinal nerve fiber layer asymmetry was linked to hazard ratios from ~1.07 for atrial…Across 46,836 adults, each standard deviation increase in retinal nerve fiber layer asymmetry was linked to hazard ratios from ~1.07 for atrial fibrillation to 1.15 for heart failure.
Predicting Arterial Stiffness from Retinal Microvasculature: A Machine Learning Approach Integrating OCTA Imaging and Clinical Parameters
Ten-year progression of white matter hyperintensities according to baseline hypertensive retinopathy in a population-based cohort
Retinal imaging model predicts age and reveals sex differences in human aging
The retinal age gap correlates with mortality, disease risks, and sex-specific genetic pathways in more than 71,000 UK Biobank participants.The retinal age gap correlates with mortality, disease risks, and sex-specific genetic pathways in more than 71,000 UK Biobank participants.