This Plain Language Summary of Publication article (PLSP) from Immunotherapy used artificial intelligence to analyze eye scans (OCT) from people with geographic atrophy (GA), a condition that damages the retina and causes vision loss. AI examined images from two previous clinical trials (OAKS and DERBY) to measure how GA destroyed two key retinal layers and how GA lesions grew over 2 years. Researchers then compared these measurements between patients who received pegcetacoplan treatment and those who didn’t, providing detailed insights into disease progression and treatment response.

Visit the site using this link to read the article.

This PLSP is based on an article called ‘Disease Activity and Therapeutic Response to Pegcetacoplan for Geographic Atrophy Identified by Deep Learning-Based Analysis of OCT’ and was published in the Ophthalmology.

Visit the American Academy of Ophthalmology using the link to read the original article.