Smart Band-Aid to See If AI-Powered Pain Scores Match How Women Feel Pain
Official title: Multi-modal Smart Band-Aid for AI-based Quantification of Pain
Run by Northwestern University · NCT06994988 · Data updated 2026-11-12
This study tests whether a microneedle patch and a smartwatch can align AI-derived pain scores with how women with chronic pain rate their own pain.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | Women only |
| Enrollment | 115 (estimated) |
| Sponsor | Northwestern University Academic / other |
| Locations | 2 sites (Chicago, Illinois and 1 other locations) |
| Status | Recruiting |
| Started | July 6, 2026 |
| Main results expected | April 23, 2027 |
| Study ends | April 23, 2027 |
| Registry record updated | September 14, 2026 |
| Trial ID | NCT06994988 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include women 18 years and older with a diagnosed chronic pain condition and healthy female controls without chronic pain.
✕Probably not a fit
People unable to wear the patch or complete the required visits, or those with conditions that affect the study measurements, may see no direct benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
Researchers will use the A-Band microneedle patch to sample interstitial fluid and a smartwatch to collect physiological signals, then compare AI-adjusted pain scores with self-reported pain in women with chronic pain and in healthy controls. The study aims to identify demographic and clinical factors that influence how well the AI-derived scores reflect patient-reported pain. It involves about 8 days of participation, with 2–3 in-person visits at participating centers. The device is investigational and not FDA-approved, and participants will complete several questionnaires to explore related factors like anxiety, sleep, and pain beliefs.
Why it matters
Potential benefit: If successful, the approach could provide a more objective way to monitor pain and tailor treatment for women with chronic pain.
How similar studies have gone: Preliminary work in AI-assisted pain measurement has shown promise, but this study explores a novel combination of ISF biomarkers with consumer wearables in a new population.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: For chronic pain group: * Female, 18 years or older. * Diagnosis of chronic pain condition (e.g., fibromyalgia, chronic lower back pain) as determined by the Principal Investigator. * Ability to provide informed consent. For healthy controls: * Female, 18 years or older. * No history of chronic pain. * No significant or poorly controlled medical conditions as determined by the Principal Investigator and exclusion criteria. * No significant active, poorly controlled psychological conditions as determined by the Principal Investigator and exclusion criteria. * Ability to provide informed consent. Exclusion Criteria (both groups): * Pregnant or breastfeeding women. * Substance abuse or psychiatric disorders that interfere with study participation. * Major medical conditions (such as severe cardiovascular, neurological, cancer or autoimmune diseases) or psychological conditions (e.g., active, poorly-controlled depression, anxiety disorder, PTSD, substance use disorder) that interfere with study participation. * Possibility of secondary financial gain from participation * Interventional pain treatment(s) within 6 weeks of baseline (injection, epidural, etc.) * Current opioid usage or usage within 2 weeks of baseline
Where it's running
-
Northwestern University Feinberg School of Medicine
Chicago, Illinois, United States Recruiting -
Walter Reed National Military Medical Center
Bethesda, Maryland, United States Not yet recruiting
Study contacts
- Study coordinator: Jordan Wood, BS
- Email: jordan.wood1@northwestern.edu
- Phone: 312-695-0915
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.