January 2024 in “International Journal of Advanced Computer Science and Applications” This review reports that while deep learning shows promise in diagnosing scalp disorders from images, challenges remain with data quality and model interpretability, suggesting that integrating explainable AI techniques is crucial for building trust and facilitating clinical adoption.
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October 2012 in “Expert Review of Dermatology” This article reviews trichoscopic techniques for diagnosing common hair loss conditions and presents a revised algorithm for identifying specific features of cicatricial and noncicatricial alopecia, but reports no new clinical results.
October 2024 in “Journal of the Pakistan Medical Association” This letter discusses the various risk factors associated with premature greying of hair, highlighting genetic predispositions, nutritional deficiencies, stress, and lifestyle factors, while noting a lack of conclusive data on effective interventions, as detailed in the reviewed studies.
September 2026 in “Veterinary Sciences” This study found significant inconsistencies in coat color terminology for the Sicilian Mastiff, revealing greater phenotypic diversity through photography and genetic analyses than recognized in breed registry data.
In this study, a clear pattern of selective sweep was observed for the SLC24A5 gene, with high linkage disequilibrium and low haplotype diversity, but no clear correlation with UV radiation intensity was found.
