May 2026 in “International Journal of Technology in Education and Science” This study developed a leakage-resistant machine learning framework for classifying hair loss types, emphasizing transparency through explainable AI. Among tested models, Extreme Gradient Boosting excelled, achieving high accuracy and stability on both cross-validation and holdout datasets.
March 2026 in “Tạp chí Da liễu học Việt Nam” In this review, researchers conclude that immune imbalance between regulatory and cytotoxic T cells, along with activation of IFN-γ–MHC and IL-15–NK pathways, disrupts hair follicle immune privilege, suggesting pivotal mechanisms in alopecia areata development and potential targets for immunotherapeutic interventions.
61 citations
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June 2022 in “IEEE Journal of Biomedical and Health Informatics” This study introduced a novel deep clustering approach for melanoma detection from dermoscopic images, demonstrating improved performance over existing methods by mitigating class imbalance issues using a center-oriented margin-free triplet loss.
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.
3 citations
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August 2024 in “Applied Sciences” In this study, researchers developed a machine learning model that accurately diagnosed scalp conditions like fine dandruff and perifollicular erythema with 75% and 82% accuracy, respectively, and created a user-friendly web platform for scalp health self-assessment, which achieved high user satisfaction.
February 2026 in “Pharmaceuticals” This study introduced the KRDQN predictive framework, which outperformed existing methods in predicting adverse drug reactions and provided interpretable insights into drug mechanisms, aiding pharmacovigilance and clinical decision-making.
1 citations
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September 2017 in “Elsevier eBooks” Diuretics help the body get rid of excess salt and water by acting on the kidneys in different ways.
62 citations
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June 2015 in “The Journal of Dermatology” This study found that patients with alopecia areata had higher levels of Th17 cells and lower levels of regulatory T cells compared to healthy controls, suggesting an immune imbalance in these patients.
April 2026 in “Scientific Reports” In this study, the proposed MSF-VMDNet, combining dual encoder networks with a multi-frequency domain mechanism, significantly outperformed existing methods in segmenting skin cancer tissues from histological slide images, achieving high accuracy with an MIoU of 95.37% and a Dice coefficient of 95.11%.
This study found that combining finasteride and anastrozole was more effective in preventing and treating benign prostatic hyperplasia in rats than using either drug alone.
66 citations
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March 2018 in “British journal of dermatology/British journal of dermatology, Supplement” This article reviews the role of perifollicular regulatory T cells in maintaining hair follicle integrity in the context of hidradenitis suppurativa and calls attention to inflammatory mechanisms without reporting new clinical results.
May 2026 in “International Journal of Drug Delivery Technology” This study reports that using machine learning models, particularly XGBoost and Random Forest, can accurately predict PCOS phenotypes based on non-invasive data, with cycle length as the most significant predictor.
12 citations
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December 2013 in “The Journal of Urology” Men's age, urinary symptoms, and heart health risks create different types of erectile dysfunction.
December 2025 in “Experimental Dermatology” This study found that uric acid-linked microvascular dysfunction may play a role in alopecia areata, suggesting that targeting endothelial function and uric acid regulation could be a potential management strategy.
6 citations
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November 1988 in “Journal of the American Academy of Dermatology” The document concludes that hair analysis is not good for assessing nutrition but can detect long-term heavy metal exposure.
42 citations
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April 2013 in “Steroids” This review discusses the pathophysiology, molecular genetics, and management of non-classic congenital adrenal hyperplasia due to 21-hydroxylase deficiency, with no new clinical findings reported.
30 citations
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May 2004 in “Journal der Deutschen Dermatologischen Gesellschaft” This review proposes a classification system for childhood hair loss based on clinical appearance, age of onset, and associated symptoms, but reports no new clinical results.
66 citations
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September 2008 in “Dermatologic therapy” This review discusses medical treatments for hirsutism, focusing on oral contraceptives and other therapies, but reports no new results; the authors emphasize the lack of evidence for insulin sensitizers in treating hirsutism alone.
49 citations
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August 2022 in “Frontiers in Immunology” This paper discusses the evolving understanding of psoriasis pathogenesis with no new clinical findings; the authors highlight the role of T-cell plasticity and regulatory cells, calling for further clinical applications using single-cell technologies.
46 citations
,
January 1996 in “Journal of The American Academy of Dermatology” This study identified the presence of apoptotic or necrotic keratinocytes and hair shaft dystrophy as potential markers of hair loss in patients with HIV-1 infection.
37 citations
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May 2016 in “Deutsches Arzteblatt International” This review outlines various causes and manifestations of hair loss, highlighting that each type has distinct underlying mechanisms and requires specific treatment approaches, without reporting new clinical results.
31 citations
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May 2012 in “European Journal of Dermatology” This review examines hair and skin disorders in post-menopausal women and notes a lack of evidence supporting specific treatments for this population.
21 citations
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August 2016 in “Translational Andrology and Urology” This review discusses the pathophysiology of delayed ejaculation, highlighting the role of various biogenic and psychogenic factors, but reports no new clinical findings.
18 citations
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May 2016 in “Annals of Medicine” This paper reviews seven major systemic causes of hair loss and provides a clinical evaluation framework but reports no new experimental results.
15 citations
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September 2015 in “Journal der Deutschen Dermatologischen Gesellschaft” This review discusses OCD spectrum disorders with dermatological symptoms, emphasizing their clinical features, neurobiology, and treatment options, while noting the need for more controlled studies.
9 citations
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December 2024 in “Clinical and Experimental Obstetrics & Gynecology” This review examines the impact of polycystic ovary syndrome on reproductive health, its pathophysiology, clinical manifestations, and emerging therapies, and reports no new findings; the authors emphasize the need for individualized treatment strategies.
7 citations
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March 2025 in “Free Radical Biology and Medicine” This study discusses how redox imbalance, specifically through reduced Insulin-like Growth Factor-1 mediated by the transcription factor JunB and sphingolipid metabolism changes, contributes to skin aging by depleting stem cell pools and altering the extracellular matrix, ultimately impacting skin integrity and function.
4 citations
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January 2024 in “International Journal of Environment Agriculture and Biotechnology” This article discusses polycystic ovary syndrome (PCOS) and its complex symptoms, highlighting treatment strategies focused on managing symptoms and reducing complications but reports no new clinical findings.
4 citations
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May 2021 in “Dermatologic Clinics” This article reviews advancements in hair transplantation, highlighting robotic and follicular unit techniques, and discusses adjuvant modalities like platelet-rich plasma, lasers, and stem cells without reporting new clinical results.
1 citations
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April 2018 in “Revista da Sociedade Portuguesa de Dermatologia e Venereologia” This article reviews the prevalence, causes, and associated conditions of hidradenitis suppurativa, a chronic inflammatory skin disease, but reports no new clinical findings.