Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods

Abstract Background Alopecia areata (AA) is a common non-scarring hair loss disorder associated with autoimmune conditions. However, the pathobiology of AA is not well understood, and there is no targeted therapy available for AA.  Methods In this study, differential gene expression analysis, immune...

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Bibliographic Details
Main Authors: Qingde Zhou, Lan Lan, Wei Wang, Xinchang Xu
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Online Access:https://doi.org/10.1186/s12911-025-02853-8
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