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AI predicts which kids need genetic drug tests

NCT ID NCT06902688

First seen Mar 06, 2026 · Last updated Jun 22, 2026 · Updated 14 times

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.

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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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Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • The Hospital for Sick Children

    RECRUITING

    Toronto, Ontario, M5G1X8, Canada

    Contact Phone: •••-•••-•••• Email: •••••@•••••

    Contact

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.

As listed by the trial registrant

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