Corneal and ocular surface diseases (OSDs) carry significant psychosocial and economic
burden worldwide. We set out to review the literature on the application of artificial …

Purpose This scoping review summarizes the applications of artificial intelligence (AI) and
bioinformatics methodologies in analysis of ocular biofluid markers. The secondary objective …

This systematic review explores the use of artificial intelligence (AI) in the analysis of biofluid
markers in age-related macular degeneration (AMD). We detail the accuracy and validity of …

Purpose To review the literature on the application of bioinformatics and artificial intelligence
(AI) for analysis of biofluid biomarkers in retinal vein occlusion (RVO) and their potential …

In the field of predictive, preventive and personalised medicine, researchers are keen to
identify novel and reliable ways to predict and diagnose disease, as well as to monitor …

Over the last two decades, a large number of non-communicable/chronic disorders reached
an epidemic level on a global scale such as diabetes mellitus type 2, cardio-vascular …

The thin layer of tears covering the ocular surface are a complex body fluid containing
thousands of molecules of varied form and function of several origins. In this review, we …

The proteins found in tears have an important role in the maintenance of the ocular surface
and changes in the quality and quantity of tear components reflect changes in the health of …

Earlier studies have reported that elevated protein levels in the aqueous humor (AH) are
associated with corneal endothelial cell dysfunction (CECD), but the details of the …

Motivation Many ophthalmic disease biomarkers have been identified through
comprehensive multiomics profiling, and hold significant potential in advancing the …