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    Integrating Biomarkers from Correlation Analysis and Metric Learning for Hair Loss Classification

    April 2026
    Noor Kamal Al-Qazzaz, Iyden Kamil Mohammed
    Studysummary This study observed that using the LMNN algorithm improved diagnostic accuracy in identifying biomarker correlations associated with hair loss, suggesting potential for advanced automated diagnostics.
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    Research cited in this study 2

    1. ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health IEEE Access · 2020
    2. Treatment of Hair Loss The New England Journal of Medicine · 1999