August 2018 in “Zenodo (CERN European Organization for Nuclear Research)” New techniques can record electromagnetic fields in hair follicles for potential medical use.
39 citations
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January 2020 in “Frontiers in Genetics” PDGFC gene may help select goats with desirable curly wool traits.
December 2022 in “Research Square (Research Square)” The QuantAnts machines can find cancer markers and create CRISPR targets for them.
December 2022 in “Journal of The European Academy of Dermatology and Venereology”
September 2024 in “Journal of Investigative Dermatology” A new tool can analyze hair to detect changes due to hormones, genetics, and aging.
November 2024 in “Archives of Dermatological Research” 4 citations
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February 2018 in “EMBO reports” New DNA analysis and machine learning are advancing forensic science, improving accuracy and expanding into non-human applications.
September 2017 in “Journal of Investigative Dermatology” QMSI effectively maps and quantifies drug distribution in skin tissues.
September 2024 in “Journal of the American Academy of Dermatology”
64 citations
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March 2017 in “Nature communications” Researchers found 63 genes linked to male-pattern baldness, which could help in understanding its biology and developing new treatments.
60 citations
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January 2021 in “BMC Genomics” The study mapped genetic variations in sheep, linking them to traits like milk production and growth.
1 citations
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November 2024 in “Orphanet Journal of Rare Diseases” Changes in genes FGA, VWF, and ACTG1 may contribute to pemphigus vulgaris.
3 citations
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May 2023 in “Precision clinical medicine” Researchers found four genes that could help diagnose severe alopecia areata early.
18 citations
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September 2013 in “Technology” The study introduced a new imaging technology to track skin healing and bone marrow cell activity over time.
Hairlessness in mammals is caused by combined changes in genes and regulatory regions.
October 2025 in “International Journal of Molecular Sciences” Early intervention in patch-type alopecia may prevent progression to more severe forms by targeting immune pathways and preserving keratin.
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.
July 2023 in “Nature Genetics” Researchers identified key cell types and genes involved in hair and skin diseases.
122 citations
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January 2006 in “Molecular & Cellular Proteomics” Human hair contains many proteins, with some being highly abundant and modified.
July 2020 in “Bioinformatics and Bioengineering” Found key genes affecting hair loss, immune response, and skin development; more research needed for better treatments.
February 2026 in “Molecules” A new method can quickly and accurately measure tobacco exposure and stress using a small hair sample.
25 citations
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January 2012 in “Proteome Science” Adipose stem cells show common protein changes as they grow, especially involving S100A6.
21 citations
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February 2006 in “Clinical Cancer Research” Mitf plays a key role in melanoma progression and is linked to disease stage.
10 citations
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June 2024 in “Frontiers in Genetics” Different sheep breeds share similar genetic factors affecting wool fineness.
5 citations
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November 2022 in “Genetics selection evolution” Low-coverage sequencing is a cost-effective way to find genetic factors affecting rabbit wool traits.
OCT can effectively screen and diagnose various medical conditions non-invasively.
3 citations
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December 2013 in “Balkan Journal of Medical Genetics” Microarray analysis helps find hidden chromosomal changes in patients with intellectual disabilities and birth defects.
September 2017 in “The journal of investigative dermatology/Journal of investigative dermatology” The reconstructed skin model from hair follicles functions like human skin in processing chemicals and can be used to test ingredient safety.
7 citations
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April 2024 in “Life Medicine” Standardizing and engineering organoids can improve their use in medicine and drug testing.
117 citations
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September 2003 in “Molecular & cellular proteomics” The technology can help diagnose and subtype autoimmune diseases by identifying specific autoantibodies.