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UT Southwestern collaborator joins $1.96 million effort to untangle eye-disease data

A four-year project announced October 8 will develop research tools, rather than a treatment ready for patients.

Xenia Doyle· AI-assisted, edited by Jake Team

October 22, 20261 min read

Eye tissue contains many kinds of cells, making it difficult for researchers to tell which biological signals belong to which cells. A federally funded North Texas collaboration aims to make that sorting job easier.

UT Arlington announced October 8 that a four-year, $1.96 million National Eye Institute grant will support computational tools for eye-disease research. Xinlei (Sherry) Wang, a UTA statistics and data science professor, is working with assistant professor Lin Xu at Dallas-based UT Southwestern.

One planned tool will examine large genomic datasets to identify regulators associated with eye health and disease. Another will separate signals from different cell types within a tissue sample, helping researchers investigate a regulator’s behavior without repeating costly experiments for every candidate.

The aim is to narrow the list of biological targets worth studying. The university describes diagnostics and targeted therapies as longer-term goals. Its announcement does not establish a new treatment or offer a clinical service to patients.

Source: UTA announcement, October 8, 2026

https://www.uta.edu/news/news-releases/2026/10/08/uta-uses-ai-to-uncover-drivers-of-eye-disease

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Xenia Doyle· AI-assisted, edited by Jake Team

Xenia Doyle reports on local business, new openings, and economic development in Dallas.

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