Multi-Omics Inflammatory Phenotype for ABPA Recurrence Risk Prediction
Multi-Omics Data-Derived Inflammatory Phenotype for ABPA Recurrence Risk Prediction: A Multicenter Study
Qianfoshan Hospital
300 participants
Jan 1, 2021
OBSERVATIONAL
Conditions
Summary
To develop and externally validate a machine learning model for predicting the 1-year risk of relapse in patients with stable ABPA, and to further evaluate its value in risk stratification and clinical decision-making.
Eligibility
Plain Language Summary
Simplified for easier understanding
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Locations(1)
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NCT07611838