July 2026 in “International Journal of Advanced Research in Science Communication and Technology” In this study, the BaldGraphFormer framework, integrating visual and clinical data, outperformed unimodal baselines in early-stage androgenetic alopecia detection, achieving an F1-score of 97.62% and macro-average AUC of 0.992, suggesting its potential to support dermatological decision-making and early intervention.
37 citations
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October 2015 in “European Journal of Human Genetics” This study found that a genetic model using SNPs can predict early-onset male-pattern baldness with moderate accuracy, which may assist in decisions about interventions.
48 citations
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May 2015 in “PLOS ONE” This study found that a genetic test using 5 to 20 SNPs can predict male pattern baldness with variable accuracy in European men, especially those aged 50 and older.
Results are not reported for this study, which used a directed acyclic graph to analyze the association between chest hair amount and prostate cancer, adjusting for age and ancestry.
January 2018 in “Universidad Privada Antenor Orrego” This study found that androgenic alopecia may serve as an early marker for benign prostatic hyperplasia.