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Your Voice May Reveal How Fast and How Well You're Aging
The model analyzed hundreds of vocal features and linked older-sounding speech to poorer cognition, MRI brain changes and elevated Alzheimer’s biomarkers.
- Researchers at Trinity College Dublin published a study in Science Advances on September 30, 2026, detailing a new 'speech clock' that infers biological age and dementia risk from vocal patterns.
- The model analyzes over 700 speech features—including pitch and pause duration—from 2,928 Spanish-speaking participants across five Latin American nations to calculate a 'speech age gap.'
- Accelerated speech age gaps strongly correlate with MRI-derived brain atrophy, epigenetic DNA-methylation clocks, and elevated plasma Tau217 levels in patients with Alzheimer's disease.
- Unlike expensive MRI scans or blood tests, voice recordings are non-invasive and scalable, potentially offering a low-cost tool for monitoring cognitive health in resource-limited regions.
- Senior author Agustin Ibanez notes the 'speech clock' remains an investigational research framework, though it could eventually transform everyday human behavior into a window onto the biology of aging.
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26 Articles
26 Articles
A new AI software detects cognitive impairments and diseases such as Alzheimer's due to acoustics and language structure.
·Munich, Germany
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The IndependentReposted by 
The Independent (US)
The Independent (US)How the way you talk can reveal how quickly you are aging
A younger sounding voice is thought to be faster with less pauses, according to researchers
·London, United Kingdom
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Novel 'speech clock' can estimate a person's chronological age
A large study shows that machine-learning clocks based on speech can estimate chronological age and may also offer a window into brain aging, biological aging, cognitive health, cumulative burden, and dementia.
·Mona Vale, Australia
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The tool was able to detect which people were healthy and which others had mild cognitive impairment and different types of dementia.
·Madrid, Spain
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Total News Sources26
Leaning Left2Leaning Right0Center11Last UpdatedBias Distribution85% Center
Bias Distribution
- 85% of the sources are Center
85% Center
15%
C 85%
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