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Detecting Type 2 Diabetes From Voice

NCT07421921 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 7319

Last updated 2026-03-19

No results posted yet for this study

Summary

The goal of this observational study is to learn if computer analysis of voice recordings can detect Type 2 diabetes in adults.

The main questions it aims to answer are:

* Can advanced voice analysis accurately identify participants with Type 2 diabetes or pre-diabetes based on vocal biomarkers?
* How do voice-based predictions compare to HbA1c blood test results for diabetes screening?
* Can machine learning approaches effectively address the challenge of undiagnosed diabetes in population screening?

Participants will:

* Record themselves reading a short passage and answering brief questions out loud in a single online session.
* Complete health questionnaires about diabetes risk factors, medications, and general health status.
* A subset of participants (n=1,000) will provide a blood sample through an at-home HbA1c testing kit to validate voice-based predictions against laboratory results.
* Use their own devices (computer, tablet, or smartphone) to complete all study activities online from home.

Conditions

Sponsors & Collaborators

  • Thymia Limited

    lead INDUSTRY

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-09-01
Primary Completion
2026-03-06
Completion
2026-03-16

Countries

  • United Kingdom

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Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07421921 on ClinicalTrials.gov