Detecting Type 2 Diabetes From Voice

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.

NCT Number	NCT07421921
Lead Sponsor	Thymia Limited
Conditions	Type 2 Diabetes, Diabetes (DM), T2DM, T2DM (Type 2 Diabetes Mellitus)
Enrollment	7,319 participants
Start Date	2025-09-01
Primary Completion	2026-03-06 (estimated)
Study Completion	2026-03-16 (estimated)
Updated on ClinicalTrials.gov	2026-03-19