New cloud tool aims to predict dangerous COPD attacks
NCT ID NCT03240315
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study is creating a personalized prediction system for acute exacerbations (sudden worsening) of chronic obstructive pulmonary disease (COPD). Over 3 years, researchers will collect health data from 442 COPD patients and healthy volunteers, including breathing tests, symptoms, and immune markers. Using cloud computing and data analysis, they hope to identify who is at risk and when a flare-up might occur, enabling earlier intervention.
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 tool that predicts when a COPD patient might have a flare-up, allowing earlier treatment and fewer hospital visits.
- What could go wrong
- This is an observational study, not a treatment trial. The prediction system may not be accurate enough for real-world use, and results may take years to apply.
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.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Guangzhou Institute of Respiratory Health,The First Affiliated Hospital of Guangzhou Medical University
Guangzhou, Guangdong, 510120, China
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