Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets.

Alopecia areata (AA) is an easy-recurring disease that presents huge challenges globally. An efficient clinical tool to predict AA onset would be valuable for timely intervention. We extracted six AA-related datasets from Gene Expression Omnibus (GEO…

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