research Health Risks Associated with Long-Term Finasteride and Dutasteride Use: It’s Time to Sound the Alarm
Long-term use of finasteride and dutasteride can cause serious health issues like diabetes and liver problems.
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150-180 / 1000+ resultsresearch Matriptase Expression and Zymogen Activation in Human Pilosebaceous Unit
Matriptase is highly active in hair follicles and sebaceous glands, especially during hair growth phases.
research Objective and subjective in vivo comparison of two emollient products
Doublebase gel hydrates skin better and is preferred by most users over Aqueous cream.
research Nutritional Disorders of the Hair and Their Management
research Ernährungsstörungen des Haares und deren Management
research The Cohen hair loss classification system
Dr. Bernard Cohen created a new system to classify hair loss using numbers and a detailed scalp map.
research 882 Syndactyly type III and hypotrichosis in oculodentodigital syndrome with GJA1 mutation
A boy with Oculodentodigital syndrome had a unique GJA1 gene mutation causing his symptoms.
research Modeling the dynamics of human hair cycles by a follicular automaton
The model successfully simulates human hair growth and patterns, including hair loss types.
research A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis
A new method measures mouse hair loss using shades of gray.
research From laboratory to operating room: Innovative use of manual blood cell counting machine for counting follicular grafts
A manual blood cell counter was effectively used to count hair follicles during surgery, being user-friendly and cost-effective but limited by a three-digit display.
research 10.1063/5.0132123.1
research Quantitative Evaluation of Female Pattern Hair Loss in Chinese Women
Computer-aided imaging system accurately measures baldness in Chinese women with hair loss.
research The place of B‐mode ultrasonography, shear‐wave elastography, and superb microvascular imaging in the pre‐diagnosis of androgenetic alopecia
B-mode ultrasonography and shear-wave elastography can help predict androgenetic alopecia early.
research Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
The model accurately detects early-stage hair loss using images.
research 574 A deep learning classifier for the analysis of tiger tail banding in trichothiodystrophy
A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.
research Understanding hair disorders through artificial intelligence: DALLE's role in image creation
DALL-E 2 can create realistic hair images but struggles with specific hair disorders.
research HERBSNAP: Advanced Classification of Bhringaraja and Honegone Herbal Species
Machine learning can accurately tell apart False Daisy and Smooth Joy Weed.
research Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
research The utility of elastic Verhoeff-Van Gieson staining in dermatopathology
EVG staining is a valuable, simple, and cost-effective method for diagnosing various skin conditions in dermatopathology.
research Light scattering from human hair fibers
Researchers developed a new model for more realistic computer graphics of hair by considering how light scatters on hair fibers.
research An algorithm for the diagnosis of female hair loss
The algorithm can effectively diagnose different types of female hair loss with proper history, examination, and tests.
research Detection of Meibomian Gland Dysfunction by in vivo Confocal Microscopy Based on Deep Convolutional Neural Network
The model can effectively help diagnose meibomian gland dysfunction automatically.
research Quantitative image analysis for hereditary hair disorders
research Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.
research The Follicle Inference Engine (FIE): A stochastic digital twin and optimal experimental design framework for androgenetic alopecia
research Pathological Insights into the Limitations of Clinical and Dermoscopic Evaluations in Monitoring Sonidegib Treatment Response for Locally Advanced Basal Cell Carcinoma: A Real-World Study
Sonidegib is effective and safe for treating advanced basal cell carcinoma, but biopsies are needed to confirm tumor clearance.
research 198 Reliable and interpretable segmentation for remote assessment of atopic dermatitis severity using digital images
The improved EczemaNet more reliably and clearly identifies and assesses the severity of atopic dermatitis from photos.
research PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis
The new AI system accurately diagnoses hair disorders and offers personalized treatment recommendations.
research Objective quantification of chemotherapy-induced madarosis: a pilot study of an automated computer vision pipeline for eyebrow density assessment
The tool accurately tracks eyebrow hair loss in chemotherapy patients.
research Algorithm proposal for hair transplantation in fibrosing alopecia pattern distributidon.
The authors suggest a method for hair transplantation in fibrosing alopecia pattern distribution to improve treatment outcomes and cover bald areas.