research Development and validation of the Brigham Eyelash Tool for Alopecia (BELA): A measure of eyelash alopecia areata
The Brigham Eyelash Tool for Alopecia (BELA) is a reliable way to measure eyelash loss in alopecia areata patients.
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810-840 / 1000+ resultsresearch Automated quantitative analysis of coat and skin coloration in laboratory animals
A new algorithm accurately analyzes animal coat and skin colors quickly and easily.
research Increased expression of psoriasin (S100A7) and interleukin 17 (IL-17) in lesional skin in lichen planopilaris
S100A7 and IL-17 may contribute to inflammation in lichen planopilaris.
research Predicting Hair Loss with AI: A Deep Learning Framework Combining Genetic and Scalp Health Data
AI can predict hair loss by analyzing genetic, scalp, and lifestyle data.
research From industry 4.0 to lab 4.0
Industry 4.0 is transforming labs with new tools, making research more efficient and environmentally friendly.
research 861 Frontal fibrosing alopecia (FFA) under dynamic optical coherence tomography (D-OCT)
D-OCT shows increased blood vessel growth in response to tissue damage in Frontal Fibrosing Alopecia and is useful for diagnosis and monitoring.
research How I Do It: Techniques for Consistent Before and After Photographs
Dr. Steve Gabel developed a method for consistent before and after photos in hair transplant surgery using specific camera settings and patient positioning.
research High spatial resolution study of human skin using synchrotron infrared microscopy: application to the penetration of external agents
External agents penetrate skin more easily in areas with fewer lipids, especially through hair follicles.
research Comparative Analysis of Trichoscopic Features in Women with Androgenetic Alopecia and Telogen Effluvium
FAGA shows varied hair thickness, while TE has more empty follicles.
research Detection of mange-like skin lesions on snow leopard (Panthera uncia) and prey species in Kyrgyzstan
Mange-like skin lesions in snow leopards and prey in Kyrgyzstan raise concerns about disease spread.
research Stigmatizing attitudes towards facial psoriasis, atopic dermatitis, vitiligo and alopecia areata
People often have negative attitudes towards facial skin conditions, with vitiligo seen most positively and psoriasis viewed most negatively.
research An Automatic AI‐Based Algorithm That Grades the Scalp Surface Exfoliating Process From Video Imaging. Application to Dandruff Severity and Its Validation on Subjects of Different Ages and Ethnicities
The AI device accurately grades scalp exfoliation and can help diagnose scalp disorders.
research CNN-KNN Model for Assessing Hair Health in Telogen Effluvium
The model accurately predicts hair breakage in Telogen Effluvium, aiding early detection and treatment.
research Artificial Intelligence-Based Personalization of Treatment Regimen for Hair Loss: A 6-Month Clinical Trial.
AI-personalized hair loss treatments improved hair growth and scalp health without side effects.
research Advancing Hair Disease Diagnostics: A Deep Learning Approach Using Inception-ResNet v2 for Multi-Class Classification
The model accurately identifies hair diseases using deep learning.
research Analyzing stereotypes about Russia and the USA among Russian youth with different attitudes toward relocation
Stereotypes about Russia and the USA influence Russian youth's attitudes towards moving abroad.
research The Value of Trichoscopy in the Follow-up of Treatment Response in Patients with Androgenetic Alopecia.
Trichoscopy is effective for tracking treatment progress in hair loss when used by an experienced doctor.
research AN OBSERVATIONAL STUDY TO STANDARDIZE THE DERMOSCOPIC FINDINGS OF NORMAL SCALP AND HAIRS IN MALE
Standardized data is essential for diagnosing scalp and hair conditions in males.
research Dermatoscopic Findings in Androgenetic Alopecia
Trichoscopy helps diagnose and track treatment for hair loss in men and women.
research 29 Practical Guide to Photographic Documentation
High-quality, standardized photos are crucial for effective hair transplant documentation.
research An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
research Hair analysis based on medical history and spatial-temporal data
Machine learning can predict hair health accurately using personal data.
research 144 Evaluation of contamination and quantification of drug penetrations studies using Quantitative Mass Spectrometry Imaging
QMSI effectively maps and quantifies drug distribution in skin tissues.
research 686 Evaluation of contamination and quantification of drug penetrations studies using Quantitative Mass Spectrometry Imaging
QMSI is a valuable method for studying drug penetration in skin tissues.
research Trichoscopy
Trichoscopy is a key method for dermatologists to quickly and effectively diagnose hair and scalp conditions.
research Commentary on: An Assessment of Gender Differences in Plastic Surgery Marketing in the United States: Are We Neglecting Our Male Patients?
Plastic surgery marketing in the U.S. often overlooks men, but targeted campaigns can significantly increase male clientele for cosmetic procedures.
research Videodermoscopy in the evaluation of hair and scalp disorders
Videodermoscopy improves diagnosis of hair and scalp disorders and may reduce scalp biopsies.
research Light scattering from human hair fibers
Researchers developed a new model for more realistic computer graphics rendering of hair by considering how light scatters on hair fibers.
research Dermatoscopy: Alternative uses in daily clinical practice
Dermatoscopy and videodermatoscopy are useful for diagnosing and monitoring various skin, hair, and nail conditions.
research Pharma in the bedroom . . . and the kitchen. . . . The pharmaceuticalisation of daily life
The conclusion is that the increasing use of drugs for lifestyle reasons is a complex issue influenced by corporate profit, consumer behavior, and the medicalization of everyday life, with potential negative effects on personal well-being.