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This study suggests that histological features of primary melanoma can partially predict lymph node metastasis using AI, achieving a best prediction AUROC of 0.65.

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.

This study developed a model for detecting sparse hair clusters using enhanced object detection neural networks and medical images, which accurately identifies and counts sparse hair clusters with greater accuracy and efficiency than existing methods.

This study demonstrated that herbal therapy with oil extract increased triglyceride content in dog hair, suggesting potential benefits on coat quality that require further investigation.

This review assessed available treatments for female pattern hair loss and found that minoxidil improved hair regrowth compared to placebo, though high-quality evidence was limited for other interventions.