A multi-biomarker machine learning approach for early prediction of interstitial lung disease in rheumatoid arthritis

A multi-biomarker machine learning approach for early prediction of interstitial lung disease in rheumatoid arthritis

Abstract Background Interstitial lung disease (ILD) is a severe complication affecting 10–30% of rheumatoid arthritis (RA) patients. Current diagnostic methods typically detect ILD only after substantial lung damage has occurred. This delay emphasizes the need for early detection strategies. This st...

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Bibliographic Details
Main Authors: Jiaojiao Xu, Wei Zhang, Weili Bai, Nannan Gai, Jing Li, Yunqi Bao
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Pulmonary Medicine
Subjects:
Rheumatoid arthritis
Interstitial lung disease
Machine learning
Krebs von Den Lungen-6
Online Access:https://doi.org/10.1186/s12890-025-03855-y
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https://doi.org/10.1186/s12890-025-03855-y

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