October 2023 in “The Journal of Dermatology” The HSVS-A is an effective tool for quickly screening hair shedding in Asian women.
A man's scalp hair loss was due to a combined melanocytic nevus and alopecia areata, suggesting a possible link between the two conditions.
14 citations
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November 2009 in “Clinical and experimental dermatology” Topical prostaglandin E2 can help treat both alopecia areata and vitiligo.
18 citations
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May 2013 in “Journal of The American Academy of Dermatology” EVG staining is the most reliable method for diagnosing alopecia.
April 2023 in “International journal of dermatology and venereology” Dermoscopic features can help identify and differentiate types of pityriasis versicolor.
Immune therapy for cancer can cause hair loss scars in some patients.
November 2024 in “Journal of Investigative Dermatology” The research aims to better understand hair follicle regulation and find new treatments for hair loss.
7 citations
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November 2007 in “Annales de Dermatologie et de Vénéréologie” A man was diagnosed with a rare form of lupus after showing unique skin symptoms that responded well to treatment.
15 citations
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February 2003 in “British Journal of Dermatology” The study suggests computer-assisted analysis of scalp biopsies could improve hair loss diagnosis but needs more validation.
13 citations
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January 2014 in “Journal of Investigative Dermatology” The laser comb did not improve hair regrowth in mice with alopecia areata.
30 citations
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August 2016 in “Skin research and technology” 3D imaging shows clearer details of skin structure changes with age.
November 2025 in “Mendeley Data” November 2025 in “Mendeley Data”
2 citations
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March 2019 in “Journal of Dermatology” Trichoscopy helped diagnose and treat a woman with two different types of hair loss.
5 citations
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February 2025 in “Journal of Clinical Medicine” A new method improves alopecia diagnosis using non-invasive steps.
August 2023 in “The Kitakanto Medical Journal” Image analysis can effectively identify changes in scalps affected by chemotherapy-induced hair loss.
1 citations
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January 2018 Improve burn patients' appearance and function using various techniques, teamwork, and psychological support.
8 citations
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June 2012 in “Australasian Journal of Dermatology” A rare form of alopecia causes hair thinning without bald spots and may be more common than thought, responding well to steroid treatment.
June 2016 in “American Journal of Cardiology” Hair loss may indicate higher risk of heart disease.
November 2025 in “The Bioscan.” Pix Liquida may help treat alopecia areata.
3 citations
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October 2010 in “Dermatologic Surgery” The new surgical technique for vitiligo is effective, safe, and cost-efficient.
January 2024 in “Lecture notes in networks and systems” "TRICHOASSIST" is a system that analyzes hair and scalp images to help diagnose scalp diseases.
December 2025 in “Al-Azhar International Medical Journal /Al-Azhar International Medical Journal”
16 citations
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March 2018 in “Plastic and Reconstructive Surgery – Global Open” Early surgical treatment for severe facial injuries from high-energy impacts leads to better recovery.
2 citations
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July 2024 in “Indian Journal of Dermatology” Adults with alopecia areata often have empty follicular openings, while children show more honeycomb pigment patterns.
December 2025 in “Biological and Clinical Sciences Research Journal” The Waris Hairline Dot Technique is highly effective, natural-looking, and has minimal recovery issues.
3 citations
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November 2021 in “Journal of biomedical materials research. Part B, Applied biomaterials” AMFIBHA scaffold significantly healed large full-thickness burn wounds in rabbits and restored skin's mechanical properties.
4 citations
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June 2022 in “ACS applied materials & interfaces” New wig coating technique makes them more durable, UV resistant, and less static.
February 2023 in “International Journal of Multimedia Computing” The improved algorithm enhances low-dose CT image quality significantly better than other methods.
January 2025 in “Communications in computer and information science” HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.