3 citations
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October 2021 in “Research Square (Research Square)” The model can effectively help diagnose meibomian gland dysfunction automatically.
1 citations
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May 2024 in “Skin Appendage Disorders” Early diagnosis with trichoscopy can improve management and quality of life for CCCA patients.
11 citations
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August 2017 in “American Journal of Dermatopathology” EVG staining helps tell apart follicular scars from follicular streamers, aiding in diagnosing different types of hair loss.
A machine-learning test using hair can help detect autism early in infants.
November 2024 in “Chattagram Maa-O-Shishu Hospital Medical College Journal” Identifying alopecia types early is crucial for better treatment and quality of life.
16 citations
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April 2017 in “ACM Transactions on Graphics” Light scatters differently from elliptical hair fibers than from circular ones, and a new model better predicts this behavior, especially for shiny highlights.
1 citations
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February 2012 in “InTech eBooks” CK7 and CK20 help identify and classify tumors for accurate cancer diagnosis.
3 citations
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August 2024 in “Applied Sciences” A web platform was created to help diagnose scalp conditions accurately and easily.
26 citations
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October 2007 in “American Journal of Dermatopathology” Basal cell carcinoma with matrical differentiation is a rare type linked to hair follicles, with .-catenin important for its development.
May 2021 in “Pakistan Journal of Medical and Health Sciences” M type hair loss is the most common in Pakistani men.
7 citations
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June 2019 in “Coloration Technology” Translucent keratin films are better for testing hair dyes.
Trichoscopic examination is crucial for diagnosing congenital triangular alopecia.
3 citations
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April 2018 in “Journal of Investigative Dermatology” CCCA may be a fibroproliferative disorder, and anti-fibrotic therapies could help.
January 2023 in “Journal of Cutaneous Pathology” The study found certain scalp biopsy features can help tell apart alopecia areata from pattern hair loss even when typical immune cells are not seen.
79 citations
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July 2022 in “Sensors” Machine learning can effectively predict type 2 diabetes risk.
September 2016 in “Journal of Dermatological Science” Björnstad syndrome causes twisted hair from birth.
2 citations
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January 2018 in “International Journal of ChemTech Research” The two Eclipta alba varieties can be distinguished by their chemical differences.
2 citations
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November 1996 in “PubMed” Most people have similar hair protein patterns, but a rare variant was found in two women.
June 2006 in “Experimental Dermatology” Understanding skin patterns can help us learn about skin diseases and their treatments.
5 citations
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February 2017 in “Australasian Journal of Dermatology” Scarring hair loss found in female pattern; biopsy needed for diagnosis.
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.
3 citations
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April 2022 in “Cutis” CCCA is a common, scarring hair loss in Black women that needs early detection.
4 citations
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May 2020 in “Journal of The American Academy of Dermatology” Cicatricial pattern hair loss is likely advanced common baldness, not a type of lichen planopilaris.
2 citations
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January 2024 AI can predict hair loss by analyzing genetic, scalp, and lifestyle data.
January 2026 in “JAMA Dermatology” ICD codes for skin conditions vary in accuracy, needing better validation for some common conditions.
A hat with sensors can measure scalp moisture well, helping with hair care.
8 citations
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May 2005 in “The American journal of dermatopathology/American journal of dermatopathology” The hair defect is due to abnormal inner root sheath keratinization.
18 citations
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March 2003 in “British journal of dermatology/British journal of dermatology, Supplement” Trichofolliculoma has specific cytokeratin patterns that help in its diagnosis.