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This study evaluates a framework using neural networks and machine learning techniques to classify and detect Alopecia Areata from hair images, aiming for accurate differentiation between healthy hair and the condition.

This abstract does not report specific research findings but describes a book titled "Medical Physics and Laser Technology: Advancements and Applications in Modern Healthcare," authored by Zahraa Zuhair Ghafel Saeid and colleagues, which is available for purchase.

This case study reports a 70-year-old man with treatment-resistant pityriasis rubra pilaris achieving complete clinical remission with ustekinumab, adding to evidence supporting biologic therapy when TNF inhibitors are unsuitable.

This study found that Par3 plays a crucial role in maintaining epidermal homeostasis by regulating Rho/actomyosin contractility and ensuring mitotic accuracy, with potential implications for other self-renewing epithelia.

This study presents a new approach to automatically remove hair artifacts from dermoscopic images, which reportedly performed well compared to existing methods like DullRazor using the PH2 datasets.