Your phone's mic could detect TB in seconds: new trial recruits 1,751
NCT ID NCT05317247
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tests whether a smartphone app can tell the difference between a TB cough and other coughs by analyzing audio recordings. Researchers will collect cough sounds from 1,751 people with a cough lasting at least two weeks, then use machine learning to build a quick screening tool. The goal is to speed up TB detection and reduce the need for expensive lab tests, especially in areas with limited resources.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Makerere University
RECRUITINGKampala, Kampala, 7062, Uganda
Contact Email: •••••@•••••
Contact Email: •••••@•••••
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Stellenbosch University
RECRUITINGCape Town, Western Cape, 7505, South Africa
Contact Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••