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Machine learning and cuddles: a new approach to pain in premature infants

NCT ID NCT05579496

Recruiting now Knowledge-focused Sponsor: York University Source: ClinicalTrials.gov ↗

First seen Jul 13, 2026 · Last updated Jul 14, 2026 · Updated 1 time

Summary

This study aims to improve how pain is assessed and managed in premature babies in the neonatal intensive care unit (NICU). Researchers are using machine learning to analyze video, brain activity, heart rate, and breathing patterns to better distinguish between painful and non-painful distress. They are also studying how skin-to-skin contact with a parent can help reduce pain responses. The study involves 400 preterm infants and their parents, observing them during routine heel lances.

What this could mean

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

Active substance
skin-to-skin contact
What this could lead to
If successful, this could lead to better pain detection and more effective non-drug pain relief for premature babies in intensive care.
What could go wrong
This is an observational study, so it won't directly test a treatment. The machine learning algorithm may not work as well in real-world settings, and results may not apply to all infants.

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.

Acute Pain agnosia

As listed by the trial registrant

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

ACUTE PAIN

Contacts and locations

Study contacts

  • Contact

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

  • Contact

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

Locations

  • Mount Sinai Hospital

    RECRUITING

    Toronto, Ontario, M5G 1X5, Canada

    Contact Email: •••••@•••••

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

  • University College London Hospital

    RECRUITING

    London, No Province, N1 2EP, United Kingdom

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

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

More trials for these conditions

Other studies related to the condition(s) this trial covers.