June 2021 in “Elsevier eBooks” The document's conclusion cannot be summarized because it is not readable or understandable.
1 citations
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September 2024 in “Journal of the American Academy of Dermatology” Physician responses are better than ChatGPT for dermatology questions.
7 citations
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March 2020 in “Journal of King Saud University. Science/Maǧallaẗ ǧāmiʹaẗ al-malik Saʹūd. al-ʹUlūm” AiQingHua oil improves blood flow and promotes hair growth in mice.
3 citations
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June 2023 in “Frontiers in Medicine” A new model uses specific blood markers to predict if children's hair loss will return.
8 citations
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August 2021 in “Computational and Mathematical Methods in Medicine” Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
November 2018 in “Seminars in Cutaneous Medicine and Surgery” The document's conclusion cannot be provided because the document is not accessible or understandable.
4 citations
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January 2023 in “Skin Appendage Disorders” Changes in certain RNA and protein levels may contribute to alopecia areata and could be treatment targets.
May 2000 in “Hair transplant forum international” The document's conclusion cannot be determined.
May 2019 in “Hair transplant forum international” The document's content could not be processed or understood.
July 2024 in “International Journal of Medical Science and Clinical Research Studies” Alopecia Areata Incognita causes sudden hair loss in young females but usually has a better outcome than other types.
2 citations
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November 2021 in “Frontiers in Medicine” New skin imaging, teledermatology, and AI could become key in future dermatology care.
55 citations
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October 2015 in “Journal of Investigative Dermatology” Alopecia areata is linked to immune-related genes, suggesting JAK inhibitors as a potential treatment.
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July 2025 in “Preprints.org” Specific miRNA profiles can help diagnose and treat alopecia areata.
May 2025 in “Journal of Investigative Medicine” FAI is a better marker for predicting female hair loss than testosterone or SHBG alone.
Autonomous robotic surgery is advancing but still requires human supervision for complex procedures.
February 2026 in “Australasian Journal of Dermatology” A new tool simplifies alopecia areata severity scoring but needs validation.
8 citations
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December 2013 in “The journal of investigative dermatology. Symposium proceedings/The Journal of investigative dermatology symposium proceedings” Mouse models help understand alopecia areata and find treatments.
3 citations
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October 2021 in “bioRxiv (Cold Spring Harbor Laboratory)” scINSIGHT helps understand single-cell gene expression better than current methods.
December 2025 in “Cosmetics” Gut bacteria differences could help diagnose and treat alopecia areata.
January 2021 in “Lecture notes in networks and systems” Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
April 2023 in “Journal of Investigative Dermatology” A new pain-measuring system using sensors and AI can effectively detect pain in mice, which may help assess pain in humans and develop treatments.
April 2006 in “Journal of the Islamic Medical Association of North America” The document's content could not be processed.
10 citations
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September 2020 in “Computational and Mathematical Methods in Medicine” Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
2 citations
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July 2025 in “Drug development & registration” A new algorithm accurately analyzes animal coat and skin colors quickly and easily.
3 citations
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January 2024 in “Annals of Dermatology” The criteria help doctors diagnose and treat alopecia areata more effectively.
7 citations
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January 2021 in “Dermatology and therapy” Both dermatologists and patients in Japan agree that treatment success for alopecia areata is having 20% or less scalp hair loss.
January 2025 in “Advances in Dermatology and Allergology” The Polish version of the Alopecia Areata Quality of Life Index is a reliable tool for assessing quality of life in Polish-speaking patients with alopecia areata.
December 2020 in “Journal of The American Academy of Dermatology” Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.
January 2026 in “International Journal of Dermatology” The new tool helps measure the impact of alopecia areata on children's quality of life.