ALEXANDRIA, Va., July 23 -- United States Patent no. 12,367,966, issued on July 22, was assigned to Genentech Inc. (South San Francisco, Calif.).

"Predicting geographic atrophy growth rate from fundus autofluorescence images using deep neural networks" was invented by Simon Shang Gao (San Francisco) and Neha Sutheekshna Anegondi (Fremont, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method and system for evaluating geographic atrophy in a retina. A set of fundus autofluorescence (FAF) images of the retina is received. An input is generated for a machine learning system using the set of fundus autofluorescence images. A lesion area is predicted, via the machine learning system, for the geographic a...