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AI predicts which kids need genetic drug tests

NCT ID NCT06902688

Knowledge-focused Sponsor: The Hospital for Sick Children Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing This study
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 27, 2026 · Last updated Sep 04, 2026 · Updated 1 time

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.

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

Study facts

What this study's own registry entry says, in plain language.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

About 275 people

The number the study aims to enrol. It can still change while the study runs.

Started

Jun 2025

Expected to finish

Jun 2027

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Ages

6 months to 18 years

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Inpatient at The Hospital for Sick Children * Between 6 months to 18 years old Exclusion Criteria: * Prior pharmacogenetic testing and/or prior receipt of a targeted medication * Current Intensive Care Unit (ICU) admission * Expected hospital discharge is prior to midnight on the day of admission

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As listed by the trial registrant

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

Machine learning Pediatrics Precision medicine Prediction models

Contacts and locations

Locations

  • The Hospital for Sick Children

    Toronto, Ontario, M5G1X8, Canada

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