2 citations
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September 2023 in “Journal of the Egyptian Womenʼs Dermatologic Society” Exclamation mark hairs and broken hairs best indicate active alopecia areata.
10 citations
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April 2020 in “Journal of surfactants and detergents” Shampoos with sugar-derived surfactants clean hair well and are gentler than those with SLES.
October 2023 in “Sinkron” The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
1 citations
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November 2015 in “Journal of Evolution of Medical and Dental Sciences” Certain skin symptoms can help detect and manage systemic lupus.
November 2023 in “The journal of investigative dermatology/Journal of investigative dermatology” The article concludes that creating a detailed map of normal human skin at the single-cell level is important.
November 2019 in “Hair transplant forum international” The SketchAndCalc app is a faster and more precise method for measuring hair transplant areas than traditional grid counting.
April 2022 in “Journal of evolution of medical and dental sciences” Intralesional triamcinolone acetonide is more effective but has a higher relapse rate than platelet-rich plasma for treating alopecia areata.
August 2023 in “Journal of Investigative Dermatology” Senescent melanocytes in nevus skin boost hair growth.
May 2025 in “Nonlinear Analysis Real World Applications” Reducing CD8+ T cell growth can stabilize alopecia areata.
July 2014 in “Plastic and Reconstructive Surgery” Sentinel lymph node biopsy is recommended for all types of desmoplastic melanoma due to higher rates of nodal metastasis.
July 2014 in “Plastic and Reconstructive Surgery” Sentinel lymph node biopsy is recommended for all types of desmoplastic melanoma due to higher rates of nodal metastasis.
260 citations
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January 2020 in “Nature” Stress can cause hair to turn gray by depleting stem cells.
ETS2 drives cancer progression in squamous cell carcinoma and is linked to poor patient outcomes.
13 citations
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August 2023 in “Developmental Cell” Mechanosensory neurons adapt to different skin types after birth.
32 citations
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January 2006 in “Acta dermato-venereologica” SACUMAN, a rare condition causing hair loss without clear signs, is often misdiagnosed and needs scalp biopsies for accurate detection.
1 citations
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December 2021 in “Journal of drugs in dermatology” The new hyaluronic acid gel is as safe and effective for lip enhancement as the existing product.
May 2025 in “OPAL (Open@LaTrobe) (La Trobe University)” Linoleic acid and magnesium are key in alopecia areata progression, and tofacitinib can help by affecting their pathway.
45 citations
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July 2008 in “International Journal of Dermatology” Sulfasalazine may help treat persistent alopecia areata.
Hair and scalp camouflage techniques help people with hair loss feel more confident by making hair look denser.
23 citations
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March 2010 in “Medical hypotheses” Merkel cells may have roles in sensing magnetic fields, creating fingerprints, Reiki energy healing, passing on environmental information to offspring, and influencing hair shape.
50 citations
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February 2004 in “Journal of Investigative Dermatology”
September 2023 in “Biomedicines” Squalene may be a marker for certain types of alopecia.
3 citations
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January 2014 in “The Journal of Dermatology” Squaric acid dibutylester for alopecia areata can cause benign skin lymphoid growths.
2 citations
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January 2018 in “Biomolecules & therapeutics” Polyamidoamine dendrimers can change the strength and direction of electroosmotic flow through the skin, affecting drug delivery.
48 citations
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July 1993 in “Archives of Dermatological Research” Merkel cells are abundant in facial vellus hair follicles, especially during the anagen phase.
3 citations
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June 2021 in “Clinical, Cosmetic and Investigational Dermatology” Dermoscopy is an effective tool for accurately detecting skin cancers.
10 citations
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July 2013 in “British Journal of Dermatology” High MUC-18/MCAM levels in blood indicate a worse outlook for melanoma patients.
The document concludes that dermatology training and grading scales need to better represent dark-skinned individuals to improve diagnosis and assessment of skin conditions.
August 2018 in “Psychological Science” September 2025 in “International Journal of Medical Informatics” A machine learning model can predict scarring in lichen planopilaris using factors like vitamin D levels and diagnostic delay.