Science and Research

CALM-QE - COPD and asthma: longitudinal and cross-sectoral real-world data for machine learning application for quality improvement and knowledge acquisition

To better diagnose and provide personalized treatment for patients with asthma and chronic obstructive pulmonary disease (COPD), it is necessary to gain a better understanding of the factors influencing these conditions and how they interact. Artificial intelligence and machine learning will be used to develop multidimensional models to predict the risk of key clinical outcome measures.

Study details
DZL Disease Area: AA, COPD
DZL Disease Area: AA, COPD
Study Type: Observational
Study Type: Observational
DZL Role: DZL recruiting center
DZL Role: DZL recruiting center
Funding: Externally - public
Funding: Externally - public
DZL Participating Sites: BREATH, BIH / Charité - Associated Partner, UGMLC
DZL Participating Sites: BREATH, BIH / Charité - Associated Partner, UGMLC
Start Date: 01.05.2023
Completion Date: 30.04.2027
Status: Recruiting
Status: Recruiting
DZL recruiting center
Link to Study


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