1 citations
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February 2025 in “Scientific Reports” In this study, researchers developed a three-dimensional ultrastructural analysis tool using serial block-face scanning electron microscopy to reveal detailed nerve networks and muscle structures in human skin tissues, demonstrating the technique's potential to study structural changes in aging or disease.
1 citations
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August 2023 in “arXiv (Cornell University)” This study reports that deep learning models, particularly CNN and FCN, achieved high accuracy in diagnosing scalp and skin disorders, suggesting potential for improved diagnostic systems with further advancements.
1 citations
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January 2014 in “Hair therapy & transplantation” This report describes benefits of advanced hair transplant techniques, micro-FUE and U-FUE, which may result in natural, undetectable hair restoration and discrete post-procedure appearance.
November 2025 in “Kufa Journal of Engineering” This study explored deep learning's potential in diagnosing scalp conditions like alopecia, psoriasis, and folliculitis, using a two-dimensional Convolutional Neural Network, achieving high accuracy and precision despite challenges of a small and uneven dataset.
January 2018 in “Turkiye Klinikleri Journal of Dermatology” This study identified the most common plants in hair cosmetics, like shampoos and dyes, with Rosmarinus officinalis L. and Lawsonia inermis L. leading, to serve as a reference for future research and healthcare professionals.
March 2026 in “Frontiers in Medicine” This study provides a framework for understanding different types of alopecias based on immune privilege collapse at specific follicular sites, revealing distinct patterns in immune effector programs and stromal influences depending on the alopecia type.
January 2026 in “Medicine” This study suggests that Hejie Shengfa Decoction may help treat alopecia areata by influencing immune and inflammatory pathways, regulating apoptosis, and enhancing the follicular microenvironment.
January 2025 in “Frontiers in Cell and Developmental Biology” This study explored the molecular mechanisms determining the identity of keratinocytes and corneal epithelial cells, finding that miRNAs from the Gtl2-Dio3 region, which regulate key signaling pathways, play a significant role in cell identity through the Hox/Gtl2-Dio3 miRNA axis.
This study investigated the potential mechanisms of Curcuma aeruginosa in treating androgenetic alopecia and identified 66 bioactive compounds interacting with proteins involved in the disorder, suggesting its involvement in hormone response and specific signaling pathways.
January 2024 in “JAAD case reports” Netherton syndrome can cause severe and chronic vulvovaginal symptoms that may improve with continuous oral contraceptives.
July 2023 in “Frontiers in veterinary science” In this study, researchers analyzed skin samples from Dorper sheep to identify 395 differentially expressed long non-coding RNAs (lncRNAs) linked to hair follicle growth phases, suggesting these lncRNAs may play a role in the regulation of hair shedding through pathways like estrogen and PI3K-Akt signaling.
November 2019 in “Harper's Textbook of Pediatric Dermatology” This review discusses potential causes of alopecia and hair overgrowth in pediatric patients, detailing diagnostic techniques and treatments, but presents no new research findings.
This review discusses the mechanisms of cell death in skin-associated processes and highlights potential therapeutic opportunities for targeting cell death to treat inflammatory skin diseases, but reports no new clinical results.
35 citations
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May 2012 in “Expert Opinion on Pharmacotherapy” This review summarizes current and emerging treatments for common hair loss conditions, highlighting good evidence for androgenetic alopecia but noting the lack of long-term data for alopecia areata and cicatricial alopecias.
82 citations
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December 2011 in “Journal of Biological Chemistry” This study discovered that a network controlled by the gene p63 is crucial for keratinocyte differentiation and is linked to MYC through cell adhesion-related pathways.
39 citations
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March 2009 in “Dermatology Online Journal” This paper discusses the role of epidermal growth factor receptor blockade in altering skin and hair growth, highlighting hair growth stimulation as a potential side effect of cancer therapy; it reports no new experimental results.
23 citations
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February 2021 in “Dermatologic therapy” This study found that pentoxifylline plus topical corticosteroids had the highest treatment success rate for alopecia areata compared to no treatment, but the best overall treatment remains uncertain due to varying data.
9 citations
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November 2022 in “Biology” This study identified key genes and pathways related to wool follicle development in coarse wool lambs, suggesting epigenetic factors may influence wool sheep domestication and breeding.
9 citations
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December 2021 in “Molecules” This study found that certain metabolites from the plants Bidens pilosa, Calophyllum inophyllum, and Fagraea berteroana may support hair follicle growth by promoting dermal papilla cell proliferation, supporting their traditional use in hair care.
8 citations
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September 2022 in “Human genomics” This study identified a coexpression network and key genes associated with thyroid eye disease, potentially aiding in its treatment and diagnosis.
4 citations
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September 2019 in “Biomedical Papers/Biomedical Papers of the Faculty of Medicine of Palacký University, Olomouc Czech Republic” This study found that CD2 could be a potential new therapeutic target for treating patchy-type alopecia areata, suggesting the need for further research into its role.
4 citations
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November 2017 in “Scientific Reports” This study compiled an archive of 684 genes associated with monogenic hair disorders, identifying previously unrecognized components of Hippo signaling and proposing a new biologically-grounded disease taxonomy.
3 citations
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September 2022 in “Frontiers in veterinary science” This study identified key genes and signaling pathways involved in cashmere goat hair follicle growth cycles, influenced by melatonin implantation, suggesting a basis for further research on melatonin's regulatory mechanism.
1 citations
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March 2024 in “Skin research and technology” In this study, a modified Xception deep learning model achieved a 92% accuracy rate in diagnosing hair and scalp disorders, significantly outperforming other models, suggesting AI could improve dermatological diagnostics' accuracy and accessibility.
In this study, Urtica dioica L. infusions were used to replace water in k-carrageenan hydrogels, resulting in stronger networks with reduced syneresis and altered textural properties, and the highest antioxidant potential was achieved with specific infusion conditions.
February 2025 in “Jurnal Kedokteran Brawijaya” This study evaluated the efficacy of various skin graft types for burn injury healing, finding that xenografts had the highest repigmentation rate (87.50%), while device-facilitated autologous skin cell transplantation showed outstanding efficacy in reepithelialization, highlighting its potential in clinical practice.
March 2009 in “Dermatology Online Journal” This study reports that blocking the epidermal growth factor receptor in cancer treatments can lead to changes in hair growth and create a "wavy" hair phenotype in some patients.
January 2023 in “Frontiers in Medicine” This study found that ALRV5XR showed the highest efficacy for terminal hair regrowth in both men and women with androgenetic alopecia, with less treatment resistance compared to other therapies.
45 citations
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July 2025 in “Journal of Medicinal Chemistry” This article discusses the development and clinical progress of PROTAC technology, particularly focusing on the New Drug Application for vepdegestrant, an estrogen receptor-targeting PROTAC, marking significant advancements in targeted protein degradation therapies.
13 citations
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April 2022 in “BMC Genomics” This study found that dandruff-afflicted individuals had a less integrated microbial network on the scalp and hair surface compared to healthy individuals, with more positive interactions and unstable connections.