November 2025 in “Scientific Reports” AI improves accuracy and consistency in diagnosing male pattern hair loss.
14 citations
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September 2020 in “Journal of the American Academy of Dermatology” Electrical impedance spectroscopy improves biopsy accuracy and efficiency for skin lesions.
December 2021 in “Skin appendage disorders” A reliable severity score for female pattern hair loss was developed and validated.
April 2023 in “Journal of Investigative Dermatology” An automated system can predict death risk in thin melanoma by analyzing immune cells.
6 citations
,
December 2021 in “Journal of Clinical Medicine” LiPADI is a useful tool for monitoring the severity and treatment of lichen planus.
The C-CAT tool helps assess and improve treatment for central centrifugal cicatricial alopecia.
1 citations
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May 2025 in “International Journal of Dermatology” 14 citations
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June 2022 in “British Journal of Dermatology” A SALT score of ≤ 20 indicates meaningful improvement in alopecia areata treatment.
Combining dermoscopy and calcium fluorescent white staining improves diagnosis and treatment of hair fungal infections.
3 citations
,
October 2011 The updated criteria improve the accuracy of diagnosing lupus.
9 citations
,
March 2017 in “Journal of Visualized Experiments” The assay effectively identifies compounds that affect immune cell activation.
26 citations
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April 2010 in “The American journal of dermatopathology/American journal of dermatopathology” Researchers created a standard system to grade hair damage using microscopic images.
January 2024 in “JEADV clinical practice” The study helps doctors use patient images to understand and apply SALT scores for treating severe alopecia areata.
36 citations
,
February 1998 in “Journal of Anatomy” Fibre optic confocal imaging can visualize skin layers, blood vessels, and nerves in live mice.
March 2026 in “Journal of Investigative Dermatology” Generative AI tools like GPT-4o can effectively automate SALT scoring for alopecia areata, matching clinician accuracy.
10 citations
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January 1989 in “Archives of Dermatological Research” The method effectively analyzes human hair proteins, especially nonfilamentous ones.
March 2026 in “SKIN The Journal of Cutaneous Medicine” All parts of the CLASI-A score are important for assessing skin activity in cutaneous lupus erythematosus.
40 citations
,
October 2012 in “Journal of the American Academy of Dermatology” CLASI is a valid tool for assessing skin activity and damage in lupus patients.
3 citations
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October 2020 in “UNC Libraries” The new criteria for classifying lupus are more accurate and comprehensive.
Excluding alopecia and mucous membrane components from the CLASI-A score reduces its effectiveness in capturing important disease activity.
September 2024 in “Journal of the American Academy of Dermatology” PRO-C22 can help diagnose and monitor the severity of hidradenitis suppurativa.
December 2013 in “Praxis medica” Using both DLQI and Skindex-16 together gives a better understanding of quality of life in skin disease patients.
9 citations
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April 2022 in “Cell Communication and Signaling” High S100A4 levels worsen glioblastoma by promoting blood vessel growth.
September 2011 in “Urology” The IPP index is linked to storage symptoms and leftover urine, and may help manage urinary tract symptoms.
19 citations
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July 2019 in “Journal of Cosmetic Dermatology” A new tool can predict hair regrowth in patchy alopecia areata patients.
December 2021 in “Research Square (Research Square)” S100A4 and NMIIA promote tumor growth in glioblastoma by enhancing blood vessel functions.
12 citations
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June 2013 in “The American Journal of Dermatopathology” A new method using visual aids to diagnose hair diseases was effective after brief training.
4 citations
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May 2013 in “Dermatologic Surgery” Three new techniques simplify and improve the preparation of tissue samples for skin cancer surgery.
36 citations
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March 2011 in “Stem Cell Reviews and Reports”