AI reads social media to predict HIV risk in kenyan women
NCT ID NCT06566417
First seen Nov 12, 2025 · Last updated May 16, 2026 · Updated 26 times
Summary
This study looked at whether analyzing social media messages (like WhatsApp and Instagram) from 400 young women in Kenya could help identify who is at risk for HIV. Researchers compared the AI analysis to standard risk scores and HIV test results. The goal is to create a better way to reach people who need HIV prevention tools.
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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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Locations
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KEMRI
Kisumu, Kenya
Conditions
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