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[HEALTH] · Argentina, Chile, Colombia, Mexico, Peru · 14 sources

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Speech clock AI tool links voice patterns to biological aging

An international research team, led by scientists from Trinity College Dublin, has developed an artificial intelligence tool known as a ‘speech clock’ to estimate biological age through voice analysis. Published in Science Advances, the study utilized data from 2,928 Spanish-speaking adults across Argentina, Chile, Colombia, Mexico, and Peru.

The AI model analyzes over 700 acoustic and linguistic features, including speech rate, pauses, pitch, vocabulary, and semantic precision. Researchers identified a ‘speech age gap’—the difference between a person’s estimated speech age and their actual chronological age. A positive gap, where a person sounds older than they are, was significantly linked to cognitive impairment, dementia (including Alzheimer’s and frontotemporal dementia), and biological aging markers such as higher p-tau217 protein levels in the blood.

While the tool shows promise as a low-cost, non-invasive biomarker for research into brain health and systemic biology, researchers emphasize it is not yet a definitive diagnostic tool for clinical use.

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Agustín Ibáñez · Global Brain Health Institute · ReDLat · Science Advances · Trinity College Dublin

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