6 citations
,
May 2021 in “Stem Cell Reviews and Reports” This study identified and characterized progenitor cells from equine feet that may play a role in the pathogenesis and recovery of laminitis, suggesting potential therapeutic targets for treatment.
5 citations
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April 2021 in “International Journal of Homoeopathic Sciences” This article reviews Acne Keloidalis Nuchae and presents a successful treatment case using Homoeopathy, emphasizing the need for individualized treatment approaches, but reports no new clinical results.
3 citations
,
May 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” In this study, researchers identified loss of function variants in the HR gene as likely causes of the distinct roaning hair coat seen in lykoi cats.
3 citations
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February 2025 in “Endocrine” This study emphasizes the necessity of confirming elevated testosterone levels detected by immunoassay with liquid chromatography-tandem mass spectroscopy before pursuing more complex diagnostic evaluations.
2 citations
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June 2022 in “Scientific reports” This study found that women with PCOS had significantly higher hair cortisol concentrations, suggesting hyperactivation of the HPA axis may affect metabolic and inflammatory markers in those with elevated cortisol levels.
1 citations
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May 2021 in “Scientific Reports” This study identified several anticancer drugs, including vinblastine and bortezomib, that significantly increase the risk of developing chemotherapy-induced peripheral neuropathy, with variations in time-to-onset among different drug categories.
October 2025 in “Clinical Cosmetic and Investigational Dermatology” This study synthesizes knowledge of how dendritic cell signals, epithelial integrins, and fibroblast activity converge on TGF-β1 to maintain or disrupt skin healing, contrasting normal and fibrotic scar formation and suggesting possible integrin and immune-targeted treatments for skin fibrosis.
December 2023 in “bioRxiv (Cold Spring Harbor Laboratory)” This study observed that extracellular matrix scaffold membranes performed less effectively in wound healing for aged mice compared to younger ones, with senescent SPP1+ macrophages potentially hindering epidermal and fibroblast repair abilities.
April 2024 in “Archives of Dermatological Research” This research review explores an algorithmic approach to scalp reconstruction, emphasizing the importance of considering defect location, size, and local scalp anatomy in optimizing cosmetic and functional surgical outcomes.
June 2023 in “LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)” Home photobiomodulation therapy can improve life quality and mobility for disabled individuals.
April 2016 in “The journal of investigative dermatology/Journal of investigative dermatology” This study found that the occipital scalp had significantly higher epidermal nerve fiber density than the frontoparietal scalp, which may explain increased sensitivity in some patients.
April 2016 in “The journal of investigative dermatology/Journal of investigative dermatology” This study found that Sox2 and BMP signaling may be key regulators of pigmentation and melanocyte migration, as suggested by experiments in mice, human biopsies, and cell co-cultures.
12 citations
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June 2020 in “Frontiers in Cell and Developmental Biology” This study found that the PP2A-B55α regulatory subunit is crucial for ectodermal development in mice, with knockout embryos displaying severe neural and epidermal defects and failing to survive to birth.
40 citations
,
January 2013 in “Journal of Korean Medical Science” This study found that serum ferritin levels were lower in premenopausal women with female pattern hair loss compared to healthy controls, suggesting a potential role for iron in hair loss.
September 2025 in “The Open Dermatology Journal” In this study, the Tibot AI application showed high diagnostic accuracy for adnexal and pigmentary disorders and cutaneous tumors in dermatology, but was less effective for immunological disorders and infestations, suggesting the need for further dataset refinement.
2 citations
,
November 2025 in “Cancer Imaging” This review highlights recent advances in ultrasound-based radiomics and radiogenomics for ovarian cancer, suggesting these techniques improve diagnostic accuracy and patient-specific treatment strategies, despite ongoing challenges with standardization and model interpretability.
2 citations
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February 2025 in “Advanced Healthcare Materials” This study developed microfluidics-based 3D microtumors to model minimal residual disease in ovarian cancer, highlighting their alignment with patient-derived MRD and response to a fatty acid oxidation inhibitor.
September 2024 in “Journal of Investigative Dermatology” This study developed a deep learning-based tool to quantify individual hair fibers in mice, revealing distinct hair phenotypes linked to hormonal, genetic, and age-related factors, and suggesting its potential for new diagnostic methods through hair analysis.
8 citations
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January 2022 in “Sensors” This study analyzed deep learning's application to automate hair density measurement in images and found that YOLOv4 had the best performance among tested algorithms, with a mean average precision of 58.67.
77 citations
,
July 2020 in “Cell” This study found that sympathetic nerves and arrector pili muscles form a niche that modulates hair follicle stem cell activity, revealing their role in hair follicle regeneration.
68 citations
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August 2014 in “PeerJ” This study found that proteomic analysis can distinguish hair samples across different ethnicities and body regions based on keratin protein levels, which may aid forensic hair identification.
56 citations
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March 2017 in “Plant and Cell Physiology” This study used light sheet fluorescence microscopy to successfully image and analyze calcium oscillations in the root hairs of Arabidopsis thaliana, finding that these oscillations correlate with the root hair growth rate and that auxin affects these properties.
14 citations
,
October 2016 in “Psychoneuroendocrinology” This study identified significant changes in the expression of nine proteins in the nucleus accumbens of rats treated with finasteride, suggesting potential novel targets for its neuropsychiatric effects.
5 citations
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July 2024 in “Journal of Market Access & Health Policy” This paper discusses the introduction and advantages of an Insurance-Based Billing Model for scalp cooling devices in the USA, which can enhance access to this treatment for reducing chemotherapy-induced alopecia, particularly benefiting underserved and disadvantaged populations.
December 2025 in “Pharmaceuticals” This study found that a natural illite-based carrier could deliver minoxidil topically with preserved efficacy, minimizing solvent toxicity, and showed hair-growth-promoting activity via anti-inflammatory and pro-proliferative mechanisms in mice.
This study found that certain dietary changes, such as a low glycemic load diet for men and specific supplements for women, may improve acne, while chocolate, whey proteins, and dairy products are linked to worsened symptoms in both genders.
7 citations
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October 2023 in “Journal of Intelligent & Fuzzy Systems” This study proposed and tested an Ensemble Pre-Learned Deep Learning and Optimized Long Short-Term Memory (EPL-OLSTM) model for classifying Alopecia Areata, achieving a 93.1% accuracy in differentiating healthy from varying severity levels of AA scalp hair using specific datasets.
2 citations
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September 2025 in “BMC Genomics” This study found that maize root hairs respond differently to cold stress based on severity, with mild cold allowing limited growth through adaptive remodeling, while severe cold causes more pronounced inhibition and prioritizes stress defense, affecting transcriptome and morphology.
April 2025 in “Frontiers in Genetics” This study found that integrating breed-specific BOA and SNP-based models helps reveal the genetic factors involved in thermotolerance traits in beef cattle, enhancing insights into thermoregulation and potentially improving cattle's heat resilience.
January 2026 in “Diagnostics” This study reports that publicly available large language models are currently less accurate than human experts in diagnosing trichoscopic images, suggesting the need for further development and specialized training for these AI tools in trichology.