A study published in npj Aging on 15 September 2026 has found that a 30-second voice recording can estimate a person's biological age with an accuracy that rivals blood-based and imaging aging clocks. Researchers at the Weizmann Institute of Science analysed voice samples from 6,979 Israeli adults aged 40 to 70, who were asked to count aloud from one to 30. The team, led by scientists including Eran Segal, built machine-learning models that used features of each recording, including pitch, tone and rhythm, to estimate a Voice Age for each participant. In women, the model explained 54 percent of the variation in chronological age, and in men 44 percent, with a typical prediction error of around four years. When a participant's Voice Age was higher than their actual age, this was associated with more body fat, poorer sleep measures and differences seen on liver imaging, according to the paper.
A cheap tool, but a narrow sample so far
The researchers describe Voice Age as a candidate "functional aging biomarker" that is inexpensive to collect compared with blood panels or scans, and one that captured information not fully overlapping with existing aging clocks, according to the paper. The study was cross-sectional, meaning it cannot show whether a higher Voice Age predicts future illness, only that it correlates with other measurements taken at the same time. All participants were Hebrew-speaking adults from a single research site in Israel, so the models have not yet been tested on other languages, accents or age groups, and the paper does not report test-retest reliability across different recording devices or environments.
What this means in practice
This is early-stage research into a potential screening tool, not something available to consumers, and it does not change any advice about diet, sleep or supplements. It is a reminder that simple, low-cost measures are increasingly being explored alongside blood tests as ways to flag who might benefit from a closer look at sleep and metabolic health, an area covered in Perqen's FAQs on how membership pricing works for anyone comparing the value of health-tracking products more broadly.
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