Related Experiment Video
Updated: Jan 20, 2026

Tear-Derived Exosomal miR-15a as New Diagnostic Tool for Diabetic Retinopathy
Published on: December 30, 2025
Artificial intelligence for diabetic retinopathy screening: a review
Andrzej Grzybowski1,2, Piotr Brona1, Gilbert Lim3,4
1Department of Ophthalmology, University of Warmia and Mazury, Olsztyn, Poland.
Artificial intelligence (AI) offers automated screening for diabetic retinopathy (DR), an eye condition affecting many due to rising diabetes. Further research is needed for clinical integration of these advanced AI technologies.
Failed At:
2026-06-19T13:38:20.655943+00:00
Related Concept Videos
07:45Tear-Derived Exosomal miR-15a as New Diagnostic Tool for Diabetic Retinopathy
06:37Artificial Intelligence-Based System for Detecting Attention Levels in Students
09:11Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
05:33Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
08:10An Ex Vivo Tissue Culture Model for Fibrovascular Complications in Proliferative Diabetic Retinopathy
08:58Artificial Intelligence Approaches to Assessing Primary Cilia

