January 2023 in “Czech Journal of Animal Science” Proteins influence the quality and traits of cashmere goat fleece, affecting hair strength and diameter.
5 citations
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September 2022 in “Molecular pharmacology” KATP channels are important for energy balance and are targeted by drugs for diabetes, hypoglycemia, hypertension, and hair loss.
A KRT32 gene variant causes loose anagen hair syndrome.
October 2025 in “Dermatology Practical & Conceptual” ChatGPT 4.0 and Gemini 1.5 Flash are effective for educating patients about androgenetic alopecia, while Deepseek R1 is less reliable.
Human hair can effectively absorb arsenic from water.
1 citations
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September 2010 in “UEF eRepo (University of Eastern Finland)” Androgen receptors help prostate cancer cells grow and resist drugs.
February 2026 in “Australasian Journal of Dermatology” A new tool simplifies alopecia areata severity scoring but needs validation.
November 2023 in “Frontiers in pharmacology” Drug repositioning offers hope for new, affordable treatments for a genetic skin disorder called ARCI.
8 citations
,
May 2020 in “International journal of biological macromolecules” Certain treatments can increase protein binding to natural hair but are less effective on permed hair.
72 citations
,
August 2014 in “Genome Biology and Evolution” Feather diversity is due to different keratin gene combinations, and chickens can help study human keratin diseases.
November 2010 in “Bradford Scholars (University of Bradford)” KATP channels are crucial for hair growth, and targeting them may lead to new hair loss treatments.
9 citations
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February 2016 in “Anatomical Science International” Hair proteins change location and structure as hair cells mature.
32 citations
,
October 1985 in “Annals of the New York Academy of Sciences” Keratin genes help explain how hair and feathers develop differently in mammals and birds.
November 2022 in “Journal of Investigative Dermatology” NCSTN gene mutation causes abnormal skin cell differentiation and more inflammation, contributing to Hidradenitis Suppurativa.
79 citations
,
October 1998 in “Genomics” Mouse keratin 6 genes evolved independently from human ones and are regulated differently.
61 citations
,
June 2019 in “BMC Genomics” lncRNAs significantly influence koi carp skin color.
8 citations
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August 2021 in “Computational and Mathematical Methods in Medicine” Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
November 2025 in “Cancer Management and Research” Targeting Keratin 17 may help overcome cancer therapy resistance.
13 citations
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June 2014 in “Molecular therapy” The lentiviral array can monitor and predict gene activity during stem cell differentiation.
March 2026 in “Journal of Investigative Dermatology” Genetic factors, especially PADI3 gene variants, contribute to CCCA in women of African descent.
March 2026 in “Frontiers in Medicine” A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.
3 citations
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June 2020 in “Developmental Cell” Feather patterns are influenced by enhancers and chromatin looping, and the structure of protein complexes important for hair growth has been detailed.
August 2023 in “Journal of the American Academy of Dermatology” CCCA affects Black men too, with a genetic link found in the PADI3 gene.
4 citations
,
May 2024 in “Genes” KRT81 gene variations in sheep affect wool weight but not fiber length or thickness.
October 2024 in “Archives of Dermatological Research”
2 citations
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November 2018 in “Modern Applied Science” The method accurately detects and removes hair from skin images to improve melanoma diagnosis.
September 2024 in “Journal of the American Academy of Dermatology” April 2025 in “Science Journal of University of Zakho” Inflammatory diets may increase the risk and severity of alopecia areata.
December 2025 in “The American Journal of Interdisciplinary Innovations and Research” The InvisiCaps Method ensures natural-looking hair extensions by carefully matching donor hair characteristics.
The model accurately identifies hair diseases using deep learning.