10 citations
,
January 2020 in “Royal Society Open Science” This study developed a quantitative measure for scoring hair surface damage from SEM images and found it accurately classified hair damage caused by explosive blasts, similar to an existing classification system.
1 citations
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November 2003 in “Humana Press eBooks” This article discusses the use of atomic force microscopy for examining human hair surfaces in dermatology, cosmetics, and forensic science, but presents no new research findings.
17 citations
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January 2007 in “Popular Communication” This study analyzes the cultural ideology of female body image as portrayed in makeover TV programs, focusing on the impact of patriarchy, but it reports no new empirical results.
12 citations
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July 2016 in “British journal of dermatology/British journal of dermatology, Supplement” This study observed phenotypic diversity in hair loss among Japanese individuals homozygous for the LIPH c.736T>A mutation and suggests that differences in hair thickness may contribute to varying severities.
1 citations
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September 2024 in “arXiv (Cornell University)” This study reviews methods to ensure the reliability of machine learning models in medical imaging, focusing on bias detection, data drift assessment, and accuracy estimation without ground truth labels to enhance integration into clinical settings.
December 2025 in “Clinical Case Reports” In this study, researchers reported that dermoscopic examination of eyebrow hairs can help in the early diagnosis of Netherton syndrome in children by detecting trichorrhexis invaginata, facilitating prompt counseling and care while awaiting genetic test results.
This review reported that "Social Botox," encompassing both BTX cosmetic use and societal beauty pressures, significantly influences adolescent self-image, driven by social media and cultural standards, with mixed psychological outcomes, potentially enhancing confidence or exacerbating body dissatisfaction across various cultures.
August 2024 in “Clinical and Experimental Dermatology” This study found that while DALL-E 2 can create realistic hair images from text prompts, its accuracy in depicting specific hair disorders, like alopecia areata, often falls short, highlighting the need for AI developers to work with medical experts to improve dermatological applications.
August 2024 in “Journal of the National Medical Association” ChatGPT is more accurate at diagnosing hair disorders in lighter skin tones than darker ones.
August 2024 in “Skin Research and Technology” This report describes the diagnosis and treatment of traumatic anserine folliculosis in children, highlighting its distinct skin features and suggesting tretinoin cream as an effective remedy.
June 2024 in “Nature Cell and Science” In this research, experienced clinicians noted inconsistency in the reproducibility of the commonly used Hamilton-Ludwig scales for assessing pattern hair loss severity in photographic assessments, leading to the proposal of a new 5-point scale for staging female hair loss.
January 2024 in “Lecture notes in networks and systems” In this study, a system was developed utilizing advanced image processing to analyze hair and scalp conditions, aiding professionals in diagnosing diseases like alopecia and monitoring treatment by extracting and comparing key parameters from microscopic images.
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.
April 2023 in “Journal of Investigative Dermatology” 3D ultrasound can detect hair follicle changes and disease phases in alopecia areata.
February 2023 in “International Journal of Multimedia Computing” In this study, improved hidden Markov algorithms based on Bayesian methods enhanced the resolution and segmentation accuracy of low-dose CT images significantly more than naive Bayesian methods.
January 2023 in “African Journal of Biomedical Research” This study found that family support significantly predicted improved body image satisfaction and self-esteem among women with PCOS, emphasizing its importance in psychological well-being.
September 2022 in “Research Square (Research Square)” In this study, the DIET-AI model, developed from a large dataset of over 200,000 images, demonstrated diagnostic performance for 31 skin diseases comparable to dermatologists of varying experience levels in 15 hospitals across China, supporting its potential effectiveness in clinical settings.
June 2020 in “Applied sciences” This study introduced a semi-automatic hair follicle implanter that can reduce surgery time and fatigue for both patients and surgeons, with effectiveness demonstrated in animal and clinical trials.
June 2018 in “Research Repository (Kingston University London)”
July 2011 in “Journal of Nursing UFPE on line” This study found that 13% of women who underwent ultrasound imaging showed suggestive signs of polycystic ovaries, but ultrasound findings alone are insufficient to diagnose polycystic ovary syndrome.
November 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” In this study, deep learning models accurately predicted gene expression in whole slide images of colorectal cancer, with convolutional neural networks outperforming transformer and graph-based approaches in spatial RNA pattern prediction.
January 2015 in “Independent Nurse” Different scalp conditions can lead to hair loss or tumors, with treatments varying from creams to surgery; early detection is crucial.
15 citations
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June 2019 in “JEADV. Journal of the European Academy of Dermatology and Venereology/Journal of the European Academy of Dermatology and Venereology” This study found that bleaching, dyeing, and UVA/Vis radiation caused significant cuticle damage and protein loss in both Caucasian and Afro-ethnic hair, highlighting the aggressive nature of these treatments.
11 citations
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November 2003 in “PubMed” This study found that hair luster increased with higher fiber pigmentation and application of specific cosmetic oils and styling resins, while micronized ZnO and synthetic sebum dulled hair.
June 2025 in “Annals of the Rheumatic Diseases” In this study, researchers found that systemic lupus erythematosus significantly affects the self-image of many men, impacting their sense of masculinity and self-worth due to physical and psychosocial challenges, while a minority felt no effect.
27 citations
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April 2017 in “European journal of endocrinology” This retrospective study found that serum hormone levels and MRI detection of ovarian nodules contributed to distinguishing virilizing ovarian tumors from ovarian stromal hyperthecosis in postmenopausal women, though histopathology remains crucial for diagnosis.
February 2026 in “Journal of Aesthetic Nursing” This study reviewed evidence on injectable regenerative treatments for female pattern hair loss, finding that while PRP consistently improves hair density and thickness, the impact of such treatments on psychological wellbeing remains unclear, and patient-reported outcomes are inconsistently assessed.
1 citations
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July 2014 in “The journal of investigative dermatology/Journal of investigative dermatology” This review discusses various topics from the 62nd Annual Montagna Symposium on the Biology of Skin, focusing on the diverse effects of light on skin biology, and reports no new clinical results.
March 2018 in “Surgical and Radiologic Anatomy” High-resolution imaging is crucial for diagnosing and planning treatments in clinical anatomy and aging.
56 citations
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September 2013 in “Experimental Dermatology” This guide reviews the biology of sebaceous glands and their evaluation methods, emphasizing their roles beyond lipid production in skin health and disease, and reports no new research results.