Oscillometry and Machine Learning Approaches

Recruiting now

Conditions studied: Asthma COPD

In brief

Unicentric retrospective study designed to analyses the performance of various machine learning approaches to predict patterns of chronic respiratory diseases such as asthma, based mainly on clinical information and respiratory spirometry/oscillometry.

Key facts

Study ID

NCT07447596

Run by

Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau

People needed

50

Starts

2025-10-15

Expected to finish

2026-09-01

Last updated by the study team

2026-03-03

Who can join

Age: 18 and older, up to 99. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• 18 - 90 years
• Spirometry available
• Confirmed clinical diagnosis of COPD, asthma, interstitial lung disease according to national or international guidelines

You may not qualify if…

• Acute respiratory infection

Where it is running

• Hospital de la Santa Creu i Sant Pau — Barcelona, Spain (enrolling)

Full record on ClinicalTrials.gov

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