AI could predict malaria death risk in kids
NCT ID NCT07355426
First seen Jan 26, 2026 · Last updated May 09, 2026 · Updated 16 times
Summary
This study looked at 100 children aged 2 to 9 with severe malaria in a Congolese hospital. Researchers used machine learning to create models that predict which children are most likely to die, based on blood tests and severity scores. The goal is to help doctors identify high-risk kids early and provide faster, more effective 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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Kinshasa
Kinshasa, Kinshasa City, Democratic Republic of the Congo
Conditions
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