Developing an aging clock using deep learning on retinal images – Google AI Blog

Aging is a process that is characterized by physiological and molecular changes that increase an individual's risk of developing diseases and eventually dying. Being able to measure and estimate the biological signatures of aging can help researchers identify preventive measures to reduce disease risk and impact. Researchers have developed "aging clocks" based on markers such as blood proteins or DNA methylation to measure individuals' biological age, which is distinct from one's chronological age. These aging clocks help predict the risk of age-related diseases. But because protein and methylation markers require a blood draw, non-invasive ways to find similar measures could make aging information more accessible.