Early Prediction of Alopecia Areata Using Machine Learning Modeling of Neuro Stress Immune Signatures from Multiple Datasets

    December 2025 in “ Scientific Reports ”
    Anxin Chen, Lin Shang, Ying Ju, Fenglin Zhuo
    Studysummary In this study, researchers developed a predictive model for the onset of alopecia areata by analyzing six datasets to identify key feature genes and employing various machine learning algorithms, ultimately finding the XGBoost model most effective for clinical application.
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    Research cited in this study 24

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