Major advances in diagnostic technologies are offering unprecedented insight into the
condition of the retina and beyond ocular disease. Digital images providing millions of …

Highlights•Ocular drug delivery is a field in which regular ADME tools are not useful.•
Pharmacokinetics based dosing aid for ocular drug delivery is presented.•User-friendly …

Purpose: While millions of individuals show early age-related macular degeneration (AMD)
signs, yet have excellent vision, the risk of progression to advanced AMD with legal …

Importance Identifing potential screening tests for future cognitive decline is a priority for
developing treatments for and the prevention of dementia. Objective To examine the …

With progressive digitalization of healthcare systems worldwide, large-scale collection of
electronic health records (EHRs) has become commonplace. However, an extensible …

The identification and quantification of markers in medical images is critical for diagnosis,
prognosis, and disease management. Supervised machine learning enables the detection …

Purpose To develop a multimodal model to automate glaucoma detection Design
Development of a machine-learning glaucoma detection model Methods We selected a …

Aim To examine the associations of air pollution with both self-reported age-related macular
degeneration (AMD), and in vivo measures of retinal sublayer thicknesses. Methods We …

Purpose: To quantify organelles impacting imaging in the cell body and intact apical
processes of human retinal pigment epithelium (RPE), including melanosomes, lipofuscin …

Background and purpose Current methods to diagnose neurodegenerative diseases are
costly and invasive. Retinal neuroanatomy may be a biomarker for more neurodegenerative …