May 2023 in “Indian journal of science and technology” The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.
60 citations
,
October 2009 in “Dermatology” Alopecia areata may appear differently depending on the individual's type of hair loss and scalp condition.
19 citations
,
March 1997 in “Journal of Cutaneous Pathology” Alopecia areata involves specific T-cells, unlike androgenetic alopecia.
2 citations
,
July 2024 in “Indian Journal of Dermatology” Adults with alopecia areata often have empty follicular openings, while children show more honeycomb pigment patterns.
35 citations
,
August 2009 in “Journal of the American Academy of Dermatology” Melanocytes might be targeted by the immune system in people with alopecia areata, but more research is needed.
July 2024 in “Clinical Case Reports” Recognizing rare hair loss patterns in young females can improve understanding and treatment.
January 2024 in “Annals of Dermatology” Current treatments for Alopecia Areata don't fully meet patients' needs, indicating a need for better therapies.
19 citations
,
February 2016 in “Journal of The American Academy of Dermatology” CD3+ T-cell presence is a reliable marker to tell apart alopecia areata from pattern hair loss.
3 citations
,
August 2012 in “The American Journal of Dermatopathology” A man with a birthmark on his scalp developed hair loss that improved with treatment, but the link between the birthmark and hair loss was unclear.
14 citations
,
March 1994 in “Archives of Dermatology” A married couple both developed alopecia areata, possibly due to shared stress.