7 citations
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June 2018 in “Journal of the American Academy of Dermatology” The document suggests finding a simpler, cheaper way to diagnose Uncombable Hair Syndrome.
Accurate prediction of eye, hair, and skin color in Latin American populations requires region-specific models and ethical guidelines.
25 citations
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May 2019 in “Heliyon” Hair treatments cause significant structural changes, especially with excessive heat, regardless of ethnicity.
5 citations
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March 2022 in “Clinical Cosmetic and Investigational Dermatology” The model accurately predicts skin conditions in Korean women using genetic information, aiding personalized skincare.
8 citations
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May 2003 in “Clinical and Experimental Dermatology” A 14-year-old girl's black hair showed unique color changes, suggesting early greying.
54 citations
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January 2013 in “Journal of Biological Macromolecules” A new method effectively separates keratin-associated proteins and keratin from human hair.
January 1990 in “대한피부과학회지” Peanut agglutinin staining helps differentiate malignant melanoma from nevocellular nevus.
106 citations
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November 2014 in “Cell Stem Cell” New single-cell analysis techniques are improving our understanding of stem cells and could help in treating diseases.
4 citations
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June 2021 in “Scientific Reports” Hair fiber shape and curvature are not significantly linked when ancestry is considered.
ETS2 drives cancer progression in squamous cell carcinoma and is linked to poor patient outcomes.
11 citations
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March 2023 in “Frontiers in Nutrition” Hair analysis can detect small changes in dietary zinc intake.
5 citations
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May 2021 in “EMBO journal” Cell polarity signaling controls tissue mechanics and cell fate, with complex interactions and varying pathways across species.
January 2026 in “International Journal of Molecular Sciences” Eyebrow follicles are best for accurate genetic testing after stem cell transplants.
40 citations
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May 2012 in “British Journal of Dermatology” Recognizing specific features of African-American hair can help diagnose hair loss conditions.
October 2023 in “Journal of the Endocrine Society” Machine learning identified three unique subtypes of androgen excess in women with PCOS, each with different metabolic risks.
17 citations
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February 2022 in “Microscopy Research and Technique” Scanning electron microscopy and elemental analysis can help identify animal species by their hair patterns and elements.
5 citations
,
January 1997 in “Journal of Occupational Health” The method effectively maps lead and zinc in hair, aiding understanding of heavy metal exposure risks.
June 2025 in “British Journal of Dermatology” Segmented hair color changes can indicate active alopecia areata.
January 2006 in “Seibutsu Butsuri” Curly and straight hair differ in how their internal fibers are arranged.
December 2024 in “Indian Dermatology Online Journal” Standard reference values for hair analysis in healthy Indian males were established.
January 1990 in “Medical Entomology and Zoology” A new method can quickly detect alcohol abuse by analyzing hair in under an hour.
June 2020 in “Journal of Investigative Dermatology” Hair shaft malformation contributes to Central Centrifugal Cicatricial Alopecia.
26 citations
,
June 2016 in “Frontiers in Plant Science” Autofluorescence can sort plant cells without labeling.
August 2016 in “Journal of Investigative Dermatology” January 2026 in “Human Mutation” T cell subsets are crucial in kidney cancer, and a new model predicts patient outcomes using key genes.
34 citations
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August 2016 in “Scientific Reports” Blocking TGFβ-RI signaling enhances surface ectoderm differentiation from human stem cells.
January 2013 in “CINECA IRIS Institutial research information system (University of Pisa)” July 2024 in “Journal of Investigative Dermatology” Sex and race affect immune responses and treatment outcomes in Hidradenitis suppurativa.
19 citations
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November 2021 in “Lupus Science & Medicine” Black patients with discoid lupus erythematosus have more severe skin damage and higher chances of dyspigmentation, scalp, and ear involvement.
20 citations
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September 2020 in “International journal of computer applications” The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.