13 citations
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August 2005 in “Journal of Investigative Dermatology Symposium Proceedings” This study describes a genetic mutation in the desmoglein 4 gene linked to localized autosomal recessive hypotrichosis in Pakistani families, showing similarities to animal models with similar hair loss conditions.
June 2025 in “International Journal of Computational Intelligence Systems” This study introduces a novel computational model using fuzzy logic and multi-criteria decision-making techniques to create a triage system for androgenetic alopecia management, stratifying patients into seven severity levels and aiding in resource allocation and treatment planning.
1 citations
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June 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” This study found that modulating epithelial and mesenchymal cell interactions in vitro enabled nearly 100% efficient induction of hair follicles, suggesting potential applications for understanding and testing hair growth and graying.
19 citations
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September 2011 in “Journal of Dermatological Science” TGF-β1 increases androgen receptor activity in hair loss, but Hic-5/ARA55 can counter this effect.
This study introduced a rapid rehydration approach for creating customizable, multifunctional hydrogel sensors, enabling precise detection of surface deformations and easy integration of layers, highlighting its potential for standardized and adaptable manufacturing of wearable devices.
This article reviews current understanding of Hutchinson–Gilford Progeria Syndrome and suggests RNA-based treatments show promise, but no new clinical findings are reported.
12 citations
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June 2013 in “Gene” This study identified seven gene sequences related to Type III Brush Hair formation in Yangtze River Delta white goats, contributing to our understanding of hair growth and follicle cycles.
1 citations
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September 2024 in “Journal of the American Academy of Dermatology” Farudodstat may effectively treat alopecia areata without harmful side effects.
January 2013 in “Japan labor review” This study quantified relationships among various occupations in Japan, enabling comparisons with vocational aptitude test results using new numerical criteria developed from analysis of over three million survey panels.
This study utilized 3D ultra-high frequency ultrasound to effectively detect different disease phases of alopecia areata by visualizing hair follicle structures and identifying unique pathological signs, offering a promising non-invasive diagnostic tool that surpasses conventional methods.