Smart sensors may predict lung infections before symptoms start

NCT ID NCT07289100

Recruiting now Knowledge-focused Sponsor: Papworth Hospital NHS Foundation Trust Source: ClinicalTrials.gov ↗

First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is testing whether wearable sensors that track things like heart rate and breathing can detect changes during a chest infection in adults with cystic fibrosis or bronchiectasis. Researchers will monitor 50 patients who are starting intravenous antibiotics for a lung infection. The goal is to see if sensor data changes between the start and end of treatment, which could help develop early warning systems for future infections.

What this could mean

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

What this could lead to: If successful, this could lead to a way to catch chest infections earlier using simple wearable sensors, potentially reducing hospital stays.
What could go wrong: This is a small, early observational study (50 people) that only measures changes during treatment. It does not test any new treatment or device for home use yet.

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.

bronchiectasis cystic fibrosis

As listed by the trial registrant

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

BRONCHIECTASIS ADULT CYSTIC FIBROSIS (CF)

Contacts and locations

Locations

Royal Papworth Hospital NHS Foundation Trust
RECRUITING

Cambridge, Cambridgeshire, CB2 0AY, United Kingdom

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