August 2024 in “Frontiers in Public Health” Alopecia Areata severely impacts mental health, causing anxiety and depression, affecting quality of life.
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.
January 2026 in “Mendeley Data” January 2026 in “Mendeley Data”
24 citations
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January 2012 in “Indian Journal of Dermatology, Venereology and Leprology” Diffuse alopecia areata involves more inflammation and higher allergy-related antibodies than patchy types.
35 citations
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June 2005 in “The Milbank Quarterly” The conclusion is that formalizing how past decisions influence current health technology assessments could improve the credibility and defense of coverage decisions.
March 2018 in “Surgical and Radiologic Anatomy” High-resolution imaging is crucial for diagnosing and planning treatments in clinical anatomy and aging.
18 citations
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January 2014 in “Postępy Dermatologii i Alergologii” Personalized treatment plans are important for people with alopecia areata.
January 2014 in “生命科学(ISSN1934-7391)” A certain gene variation can affect protein production and is linked to male pattern baldness.
July 2020 in “Hair transplant forum international” The document cannot be parsed, so there is no conclusion to summarize.
April 2017 in “Journal of Investigative Dermatology” Reduced Stx17 expression may contribute to Alopecia Areata.
June 2023 in “International Journal of Research in Dermatology” Early diagnosis and treatment of alopecia areata in children is crucial to prevent severe progression.
73 citations
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April 2006 in “BioTechniques” Protein microarrays are highly sensitive tools useful for disease diagnosis and studying proteins.
1 citations
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September 2025 in “Cureus” ChatGPT-5 can pass the endocrinology exam but isn't fully reliable for clinical decisions yet.
CD28 is a promising target for treating alopecia areata with belatacept.
CD28 is a promising target for treating alopecia areata with belatacept.
March 1994 in “Hair transplant forum international” The document's conclusion cannot be summarized because the content is not accessible.
10 citations
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September 2020 in “Journal of the American Geriatrics Society” Natural language processing is the most accurate method for identifying falls in older adults in emergency departments.
Alopecia areata involves immune system changes, especially in severe cases, with potential new treatment targets identified.
6 citations
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December 2018 in “Australasian Journal of Dermatology” The Trichoscopy Derived Sinclair Scale offers a more accurate and reliable way to measure hair loss severity than the traditional visual method.
July 2022 in “Bőrgyógyászati és Venerológiai Szemle” Technology, like mobile apps and AI, is improving skin condition diagnosis and treatment.
November 2025 in “Mendeley Data” November 2025 in “Mendeley Data”
9 citations
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March 2009 in “Psychoneuroendocrinology” Certain gene variations are linked to better memory in healthy Chinese women.
1 citations
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January 2004 in “Hair transplant forum international” The document's conclusion cannot be summarized because the content is not accessible.
November 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” Using deep learning to predict gene expression from images could help assess colorectal cancer metastasis.
September 2013 in “Hair transplant forum international” The document's conclusion cannot be determined from the provided text.
March 2026 in “Mendeley Data” rwSALT accurately measures hair regrowth in alopecia areata using scalp photos.
November 2025 in “Figshare” Baseline severity, disease activity, and relapse history are key to predicting response and recurrence in alopecia areata.
1 citations
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September 2023 in “Journal of the American Academy of Dermatology” Baricitinib significantly improves hair regrowth in severe alopecia areata.