Detecting Type 2 Diabetes From Voice

Brief summary (registry, in English)

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.

What you commit to

• Study type: Observational
• Participants enrolled: 7319
• From 1 Sept 2025 to the primary completion date, 6 Mar 2026
• 1 site in 1 country
• Visits and tests: ask the trial team, the registry does not list them

Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.

Who cannot take part

Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.

Who the study is looking for

Age in the registry: 18 years to - · Sex: All · Accepts healthy volunteers

Full criteria on ClinicalTrials.gov

Sites (1)

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