AI and better sampling aim to find millions of hidden TB cases
NCT ID NCT06437184
Summary
This study aims to find more people with tuberculosis (TB) in high-risk areas of Ethiopia and Guinea-Bissau. It tests a package of improved methods, including better sputum collection instructions, AI analysis of chest X-rays, and new sample types like saliva and stool. The goal is to see if these combined, practical upgrades to existing clinic tools can help diagnose more people quickly so they can start treatment sooner and reduce the spread of TB.
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Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Gondar University
RECRUITINGGonder, Ethiopia
Contact Email: •••••@•••••
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Projecto Saude de Bandim
RECRUITINGBissau, Guinea-Bissau
Contact Email: •••••@•••••
Conditions
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