AI could help spot kids at highest risk from severe malaria

NCT ID NCT07355426

Completed Knowledge-focused Sponsor: University of Kinshasa Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study looked at 100 children in Congo with severe malaria to see if computer models could predict who might die. Researchers used blood tests and other data to build machine-learning algorithms. The goal is to help doctors make faster, better treatment decisions for the sickest children.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could lead to better tools for doctors to quickly identify which children with severe malaria are at highest risk of dying, allowing for earlier and more aggressive treatment.
What could go wrong: This is a small, completed observational study (100 children) that only develops prediction models. The models need to be tested in larger, different groups of children before they can be used in real hospitals.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

Acidosis malaria multiple organ dysfunction syndrome Plasmodium falciparum malaria

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

SEVERE MALARIA

Contacts and locations

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Locations

Kinshasa

Kinshasa, Kinshasa City, Democratic Republic of the Congo

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