Machine learning model analyzes speech to detect cognitive and biological aging

Researchers at Trinity College Dublin developed a machine learning model that analyzes speech to infer biological age, cognitive health, and social impacts. The study, published in a peer-reviewed journal, suggests speech patterns can serve as non-invasive biomarkers for aging and cognitive decline. This is an emerging research finding; clinical utility and generalizability remain unproven.