41 citations
,
November 2011 in “The Journal of Dermatology” This review identifies genetic mutations associated with congenital hair loss disorders in Japanese populations, particularly highlighting common LIPH gene mutations linked to woolly hair/hypotrichosis, and reports no new clinical results.
This genetic study identified a potential interval for the Marie Unna hypotrichosis gene but found no mutations in the nearby hr gene, suggesting its involvement remains unconfirmed.
July 2022 in “International Journal of Applied Pharmaceutics” This research explored the use of machine learning and deep learning methods to accurately identify alopecia areata in humans by analyzing facial images and demonstrated the potential of these techniques for medical, security, and commercial applications.
July 2019 in “Journal der Deutschen Dermatologischen Gesellschaft” This source reports findings from a case study detailing hair loss in two female patients, published in the JDDG: Journal der Deutschen Dermatologischen Gesellschaft, emphasizing that specific diagnostic outcomes or treatment results are not included in the summary.
31 citations
,
May 2008 in “Drug Discovery Today: Disease Mechanisms” This review discusses the physiology of hair follicles, their disorders, and the principles behind developing treatments, reporting no new results.