August 2023 in “Journal of Chromatographic Science” A new method accurately measures three compounds in rat plasma from pine needle extracts, aiding future research on its use for hair loss.
34 citations
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March 2009 in “Journal of Investigative Dermatology” Proteomic analysis can identify genetic differences in mouse hair, helping understand hair defects and variations.
May 2025 in “Research Square (Research Square)” Conditioned medium from treated cells boosts hair growth in mice.
118 citations
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January 1992 in “Experientia” 100 citations
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November 1997 in “Human Genetics” A new mutation in the hHb1 keratin gene is linked to the hair disorder monilethrix.
29 citations
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August 1999 in “Journal of Investigative Dermatology” New mutations in hair keratin genes cause the rare hair disorder monilethrix.
March 2022 in “Book Publisher International (a part of SCIENCEDOMAIN International)” Human hair has bipolar electrical charges due to gaps in the hair follicle's electromagnetic fields.
Researchers developed a method to identify and measure different animal hair fibers in textiles, successfully distinguishing materials like cashmere from cheaper fibers.
10 citations
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July 2022 in “Journal of Medicinal Chemistry” Adding a second method to PROTACs could improve cancer treatment.
September 2025 in “OPAL (Open@LaTrobe) (La Trobe University)” Researchers created an efficient method to extract DNA from marmoset hair, avoiding blood chimerism.
November 2021 in “International journal of research - granthaalayah” The document suggests that human hair has electrical charges because of a gap in nerve cell coverage that affects electromagnetic radiation.
May 2024 in “Ultramicroscopy” Atomic Force Microscopy is a more accurate way to assess hair damage and the effect of cosmetic treatments.
6 citations
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July 2005 in “Farmaco” A quick and simple method was created to identify minoxidil in hair-growth products using micellar electrokinetic capillary chromatography.
January 2017 in “Archives of clinical and biomedical research” Enhancing melanin's energy generation may help treat alopecia areata.
23 citations
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December 1977 in “Virchows Archiv B Cell Pathology” March 2026 in “Journal of Investigative Dermatology” October 2025 in “Pediatric Dermatology” UVFD helps quickly diagnose hair loss conditions in children.
April 2016 in “Journal of Investigative Dermatology”
5 citations
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January 2018 The conclusion is that a new test was created to find substances that affect specific ion channels, and it works well for drug discovery.
8 citations
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March 2023 in “BMC Research Notes” Laser-capture microdissection effectively analyzes hair follicle microbiomes, revealing region-specific bacterial differences.
21 citations
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March 2003 in “Clinical and Experimental Dermatology” Mutations in the hHb6 gene cause the hair disorder monilethrix.
1 citations
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October 2024 in “Dermatology Practical & Conceptual” Reflectance confocal microscopy is a promising non-invasive tool for diagnosing alopecia areata incognita.
2 citations
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May 2023 in “Experimental dermatology” New imaging techniques can assess and track changes in mouse acne without harm, aiding treatment choices.
36 citations
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June 2016 in “Journal of dermatological treatment” The combination therapy significantly improved Riehl’s melanosis in patients without serious side effects.
19 citations
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September 1999 in “Talanta” New method measures minoxidil concentration faster, more accurately, and automatically.
March 2005 in “International Journal of Cosmetic Science” DVI provides detailed 3D imaging of hair and shows how various products protect and enhance hair.
29 citations
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November 2015 in “Acta Biomaterialia” Infrared light can trigger drug release from gold nanoparticle carriers in hair follicles.
April 2021 in “Journal of Investigative Dermatology” Photobiomodulation therapy may help treat hair loss in people with darker skin, but more research is needed.
January 2024 in “Editora Científica Digital eBooks” Fotobiomodulação uses light to help heal tissues and reduce inflammation.
April 2021 in “Journal of Investigative Dermatology” A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.