AI predicts which kids need genetic drug tests
NCT ID NCT06902688
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tests whether a machine learning model can predict which children admitted to the hospital will need a medication that requires genetic testing. The goal is to offer the test earlier, so doctors can pick the safest drug or dose. The trial will involve 275 children aged 6 months to 18 years at a single hospital in Canada.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- machine learning model
- What this could lead to
- If successful, this could help doctors personalize medication for children faster, reducing side effects and improving treatment.
- What could go wrong
- This is an early-stage study focused on testing the model's accuracy, not on patient outcomes. The model may not work as expected in real-world hospital settings.
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As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
The Hospital for Sick Children
RECRUITINGToronto, Ontario, M5G1X8, Canada
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