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Connective tissue diseases (CTDs) cover a broad range of systemic rheumatic disorders characterized by abnormal immune activation, chronic inflammatory response, and fibrosis of internal organs. The most prevalent is interstitial lung disease (ILD), a severe pulmonary complication seen in 10 to 50% of CTDs and a major determinant of disability and death. Prevalence and clinical course of CTD-ILDs vary widely and seem to be independent of treatment. Current screening and prognosis prediction strategies based on clinical variables and auto-antibodies are inadequate, and disease biomarkers are lacking. The research project aims to identify biomarkers of ILD involvement in CTD patients by characterizing the proteome and transcriptome of extracellular vesicles (EVs) isolated from serum. This will be integrated with high-resolution computed tomography (HRCT) using artificial intelligence (AI)-
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