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Recruiting Observational

Oscillometry and Machine Learning Approaches

NCT07447596 · tracked via the Priya Life Science Spain tracker
Phase
Observational
Started
2025-10-15
Last updated
2026-03-03

Condition(s) studied

Asthma COPD

Investigational drug(s) / intervention(s)

1

1: Compare oscillometry results with spirometryClick to apply

Study summary

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.

Eligibility

Sex
ALL
Min age
18 Years
Max age
99 Years
Healthy volunteers
Accepted
Inclusion Criteria: * 18 - 90 years * Spirometry available * Confirmed clinical diagnosis of COPD, asthma, interstitial lung disease according to national or international guidelines Exclusion Criteria: * Acute respiratory infection

Primary outcome measure(s)

  • Oscillometric breathing pattern — 1 year
    Analyze results obtained

Trial sites (1)

FacilityCityRegionStatus
Hospital de la Santa Creu i Sant Pau Barcelona Spain Recruiting
Official registry record

This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.

View NCT07447596 on ClinicalTrials.gov ↗ ← All trials in Spain