AI reads social media to predict HIV risk in kenyan women
NCT ID NCT06566417
First seen Nov 12, 2025 · Last updated Apr 28, 2026 · Updated 21 times
Summary
This study looked at whether analyzing social media messages (like WhatsApp and Instagram) can help identify young women at risk for HIV. Researchers collected 6 months of messages from 400 women aged 18-24 in Kisumu, Kenya, and used AI to detect patterns related to HIV risk. The goal was to see if this approach could improve how doctors assess prevention needs, without directly testing any treatment.
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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
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