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This study reviewed 54 articles to examine how continuous exposure to air pollution causes hair damage, hair loss, and scalp conditions due to oxidative stress and inflammation, and highlighted anti-inflammatory substances that could mitigate these effects.

In this study, researchers developed a machine learning model that accurately diagnosed scalp conditions like fine dandruff and perifollicular erythema with 75% and 82% accuracy, respectively, and created a user-friendly web platform for scalp health self-assessment, which achieved high user satisfaction.

This review summarizes trichoscopic features for diagnosing common hair loss disorders and reports no new clinical results, emphasizing their diagnostic utility in conditions like alopecia areata and trichotillomania.

This review examines dandruff and seborrheic dermatitis, highlighting the role of Malassezia yeasts in inflammation and hyper-proliferation, and reports no new clinical findings.

This study found that seborrheic dermatitis significantly worsens patients' quality of life, with stronger effects observed among women, younger individuals, and those with higher education levels.