Excluding alopecia and mucous membrane components from the CLASI-A score reduces its effectiveness in capturing important disease activity.
57 citations
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May 2014 in “Molecular Phylogenetics and Evolution” The research found how GPCR Class A Rhodopsin receptors are related and suggested possible substances they interact with.
36 citations
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July 2007 in “Journal of Investigative Dermatology” Certain HLA class II alleles increase or decrease the risk of alopecia areata.
16 citations
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September 2006 in “The Journal of Immunology” MILL molecules are unique immune proteins in mice that don't need TAP to appear on cell surfaces.
7 citations
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January 2019 in “Australasian Journal of Dermatology” A genetic marker linked to a type of hair loss was found in most patients studied.
5 citations
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October 2023 in “International Journal on Recent and Innovation Trends in Computing and Communication” The method accurately detects and classifies scalp diseases, including alopecia areata, with 89.3% accuracy.
April 2026 in “Scientific Reports” MSF-VMDNet accurately segments skin cancer images better than existing methods.
Greater concern about hair loss is linked to more severe hair loss and worse quality of life.
44 citations
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December 2005 in “Journal of Investigative Dermatology” Certain genetic markers, especially the MICA gene, are linked to alopecia areata.
2 citations
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May 2021 in “Journal of pharmaceutical and biomedical analysis” A new method was developed to accurately detect and measure 47 different drug ingredients in various products.