Personalized pain relief: algorithm aims to match treatments to patients

NCT ID NCT07731750

Not yet recruiting Symptom relief Sponsor: University of Michigan Source: ClinicalTrials.gov ↗

First seen Jul 28, 2026 · Last updated Jul 29, 2026 · Updated 1 time

Summary

This study tests whether a computer algorithm can predict which treatment—such as physical therapy or exercise—will work best for a person with chronic low-back pain. Researchers collect information on symptoms, health history, and lifestyle to create a personalized treatment plan. The goal is to see if algorithm-guided choices lead to better pain relief and daily function than standard approaches.

What this could mean

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

Active substance: an algorithm that ranks treatments based on personal pain characteristics, plus physical therapy and exercise
What this could lead to: If successful, this approach could make pain treatment more personalized and effective, reducing guesswork for patients and doctors.
What could go wrong: This is an early-stage study testing a decision-making tool, not a new treatment itself. The algorithm may not improve outcomes, and results may not apply to all pain types.

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

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As listed by the trial registrant

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

CHRONIC LOW-BACK PAIN

Contacts and locations

Locations

University of Michigan

Ann Arbor, Michigan, 48109, United States

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