Identification of Vocal Biomarkers to Monitor the Health of People With a Chronic Disease
CoLive Voice
1 other identifier
observational
50,000
1 country
1
Brief Summary
The CoLive Voice research project aims to identify vocal biomarkers of severe conditions and frequent health symptoms. The project is based on digital technologies and statistical algorithms. This is an international anonymous survey where vocal recordings are collected simultaneously with large validated clinical and epidemiological data, in the context of various chronic diseases or frequent health symptoms in the general population.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jun 2021
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 12, 2021
CompletedFirst Posted
Study publicly available on registry
April 19, 2021
CompletedStudy Start
First participant enrolled
June 26, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 1, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
May 1, 2031
ExpectedMarch 30, 2026
February 1, 2026
4.8 years
April 12, 2021
March 24, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Stress
Patient reported outcome
At baseline
Secondary Outcomes (8)
Fatigue
At baseline
Hypertension
At baseline
Diabetes
At baseline
Migraine
At baseline
Covid-19
At baseline
- +3 more secondary outcomes
Eligibility Criteria
Adult and adolescent above 15 years, regardless of their health status and their residence country.
You may qualify if:
- Adolescents and adults \> 15 years
- With or without health conditions
- From all countries
You may not qualify if:
- Children \< 15 years
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Luxembourg Institute of Health
Luxembourg, Luxembourg
Related Publications (1)
Elbeji A, Pizzimenti M, Aguayo G, Fischer A, Ayadi H, Mauvais-Jarvis F, Riveline JP, Despotovic V, Fagherazzi G. A voice-based algorithm can predict type 2 diabetes status in USA adults: Findings from the Colive Voice study. PLOS Digit Health. 2024 Dec 19;3(12):e0000679. doi: 10.1371/journal.pdig.0000679. eCollection 2024 Dec.
PMID: 39700066DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Guy Fagherazzi, PhD
LIH
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER GOV
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
April 12, 2021
First Posted
April 19, 2021
Study Start
June 26, 2021
Primary Completion
May 1, 2026
Study Completion (Estimated)
May 1, 2031
Last Updated
March 30, 2026
Record last verified: 2026-02