research A novel predictive model for the recurrence of pediatric alopecia areata by bioinformatics analysis and a single-center prospective study
This study constructed a model using serum levels of BMP2, CD8A, PRF1, and XCL1 as a non-invasive biomarker to accurately predict recurrence in patients with alopecia areata.