Plain-English translation of NCT07289100 on ClinicalTrials.gov โ ยท Source last updated ยท Translation generated ยท How we translate trials
This trial is testing whether new sensors and artificial intelligence can detect acute pulmonary exacerbations โ sudden worsening of breathing and lung symptoms โ before they become clinically obvious in people with cystic fibrosis or bronchiectasis. The researchers want to see if this early warning system can help catch these flare-ups sooner so patients can start treatment faster and prevent serious lung damage.
Sudden lung flare-ups in these conditions cause rapid progression, frequent hospitalizations, and poor quality of life. If doctors could catch these exacerbations earlier using home monitoring technology, patients could receive treatment sooner and potentially avoid severe complications.
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You would use home monitoring sensors while you start intravenous antibiotics for a lung exacerbation at Royal Papworth Hospital. The sensors collect data about your breathing and symptoms, which are analyzed by artificial intelligence software to see whether the technology can detect the exacerbation early. Your anonymized data from home monitoring would be used to help develop and test this early-warning system.
AI-generated summary from trial data ยท Jun 3, 2026 ยท Not medical advice
United Kingdom
Sponsor
Papworth Hospital NHS Foundation Trust
Collaborators
LifeArc, University of Cambridge
Enrollment target
~50 participants
Started
September 2025
Primary completion
March 2026
This trial's estimated completion date has passed โ the record may not be fully up to date.
Age range
18 Years and older
Last updated on clinicaltrials.gov in December 2025.
Reach out to the team running this trial. Response times vary โ some teams are faster than others.
Central contact
Lucy E Gale
University of Cambridge
Tell us you're interested and we'll help connect you with the research team. We'll walk you through what to expect first โ no email needed to get started.