NCT07447596Recruiting
Oscillometry and Machine Learning Approaches
Feasibility Study of Forced Oscillometry in the Prediction of Chronic Respiratory Diseases Using Machine Learning Approaches
Source: ClinicalTrials.gov · Last updated 3 Mar 2026
Brief summary (registry, in English)
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.
- Status (registry)
- Recruiting
- Study type
- Observational
- Enrollment
- 50 (estimated)
- First submitted
- 26 Feb 2026
- Start date
- 15 Oct 2025
- Primary completion date
- 15 Jul 2026
- Lead sponsor
- Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau
- Diseases
- Asthma
- NCT number
- NCT07447596
What you commit to
- Study type: Observational
- Planned participants: 50
- From 15 Oct 2025 to the primary completion date, 15 Jul 2026
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other illness
- Acute respiratory infection
Who the study is looking for
- 18 - 90 years
- Spirometry available
- Confirmed clinical diagnosis of COPD, asthma, interstitial lung disease according to national or international guidelines
Age in the registry: 18 years to 99 years · Sex: All · Accepts healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Hospital de la Santa Creu i Sant Pau Coordinator of this site? Confirm its status | Barcelona | Spain | Recruiting |
This page is information, not medical advice. Discuss any trial with your doctor.