Researchers from UTA and UT Southwestern Utilize AI to Identify Molecular Switches Linked to Eye Diseases

Researchers from the University of Texas at Arlington (UTA) and UT Southwestern Medical Center in Dallas are leveraging artificial intelligence and sophisticated statistics to identify the molecular “control switches” associated with various eye diseases, including age-related macular degeneration, glaucoma, and diabetic retinopathy.

Their collaborative four-year project, backed by a $1.96 million grant from the National Eye Institute, seeks to develop targeted therapies aimed at enhancing and safeguarding vision. Leading the initiative, UTA professor Sherry Wang, alongside UT Southwestern’s Lin Xu, combines their expertise in statistics, bioinformatics, ocular biology, and clinical settings to further advance research in this area. Wang is creating two computational tools designed to analyze large sets of genomic data and untangle the complexity of eye tissue, which could provide significant insights for future treatments.