research A New Classification of Early Female Pattern Hair Loss
The new system helps detect and track early female hair loss better.
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research The Utility of the Classification Tools in National Institute of Health and Clinical Excellence's Clinical Knowledge Summaries for Primary Care
Nearly half of the classification tools in the National Institute of Health and Clinical Excellence's Clinical Knowledge Summaries might not effectively guide management for general practitioners.
research Proposal for Clinical Classification of Cutaneous Manifestations in COVID-19 and Post-Vaccination Against SARS-CoV-2: An Observational Study
Most skin issues were due to COVID-19, with some caused by vaccines or treatments, and were categorized into five types.
research Deep Learning-Based Automatic System for Diagnosis and Classification of Skin Dermatoses
The document concludes that an automatic system using deep learning can help diagnose skin disorders, but challenges and opportunities in this area remain.
research Faculty Opinions Recommendation of a New Classification of Pattern Hair Loss That Is Universal for Men and Women: Basic and Specific (BASP) Classification
The BASP classification is a detailed system for categorizing hair loss in both men and women, but it may be complex for beginners and not fully suitable for grading female hair loss.
research Standardizing the Classification and Description of Follicular Unit Transplantation and Mini-Micrografting Techniques
Surgeons suggested a standard system for hair transplant methods to improve communication and results.
research Proposing a Simpler Classification of Telogen Effluvium
Alfredo Rebora suggested a new, easier way to classify hair loss in Telogen Effluvium, adding a type possibly related to autoimmune diseases.
research A New Classification of Male Pattern Baldness and a Clinical Study of the Anterior Hairline
Researchers created a new system to classify male baldness, finding six types and a common hairline shape, to improve hair loss treatments.
research The Ziering Whorl Classification of Scalp Hair
The conclusion is that creating natural-looking hair restoration requires replicating natural scalp whorl patterns and inserting grafts at specific angles.
research Specificity of Anti-SSB as a Diagnostic Marker for the Classification of Systemic Lupus Erythematosus
Anti-SSB antibodies are useful for diagnosing systemic lupus erythematosus and are linked to specific symptoms.
research Anti-Müllerian Hormone Confirms the Novel Classification of Female Functional Androgenization Including Polycystic Ovary Syndrome
Anti-Müllerian hormone is a specific marker for ovarian issues in women with conditions like PCOS.
research The Ziering Whorl Classification of Scalp Hair
Craig Ziering created a system to classify scalp hair patterns, important for improving hair restoration surgery results.
research Pathogenesis and Classification of Male Pattern Hair Loss (Androgenic Alopecia)
research Pathogenesis and Classification of Female Pattern Hair Loss
research Computer Aided Classification of Female Androgenetic Alopecia: An Image Processing and Analysis System
research Research Progress in Composition, Classification and Influencing Factors of Hair
Lipids are important for healthy hair, but their exact role is not fully understood and needs more research.
research Investigating Different Deep Learning Models for Classification of Folliculitis
GoogLeNet is the best model for identifying folliculitis.
research Derivation And Validation Of The Systemic Lupus International Collaborating Clinics Classification Criteria For Systemic Lupus Erythematosus
The new SLICC criteria for diagnosing lupus are more sensitive and accurate than the old criteria.
research Graft Quality Index: A Morphologic Classification of Follicular Unit Excision Grafts
The Graft Quality Index grades hair transplant grafts to predict placement difficulty and surgery results.
research Hair Transplantation in Women: A Practical New Classification System and Review of Technique
A new hair loss classification for women improves treatment, but careful patient selection is crucial for successful hair transplantation.
research Dose-Response of Human Follicles During Laser-Based Hair Removal: Ex Vivo Photoepilation Model with Classification System Embracing Morphological and Histological Features
Higher light doses cause more damage to hair follicles, predicting better hair removal results.
research Dissecting Folliculitis (Dissecting Cellulitis) of the Scalp: A 66-Patient Case Series and Proposal of Classification
Researchers found that dissecting folliculitis of the scalp is linked to obesity, severity increases with duration and number of nodules, and early treatment is important to prevent scarring.
research The Dermatological Spectrum of Coronavirus Disease-19: Cutaneous Signs for Diagnostics and Prognosis and an Expanded Classification
Skin problems like rashes and hair loss can help diagnose and predict COVID-19.
research Figure 8, The Hamilton-Norwood Classification of Male Androgenetic Alopecia
research Reliability of the Pattern Hair Loss Classifications: A Comparison of the Basic and Specific and Norwood–Hamilton Classifications
The BASP classification is more reliable than the Norwood-Hamilton for classifying hair loss in men and women.
research Classifications of Patterned Hair Loss: A Review
Different types of hair loss need specific treatments, and while many classification systems exist, each has its flaws; more research is needed to refine these systems and treatments.
research Precise Scale: A Quantitative Classification for Androgenetic Alopecia and Its Application to Hair Transplantation
The PRECISE scale helps estimate how many grafts are needed for hair transplant based on the severity of hair loss.
research Association Between Androgenetic Alopecia and Cardiovascular Risk Factors According to BASP Classification in Korean Androgenetic Alopecia
Korean patients with androgenetic alopecia may have a higher risk of heart-related health issues and could benefit from early heart screening and healthier lifestyles.
research Unveiling the Roots of Monogenic Genodermatoses: Genotrichoses as a Paradigm
New gene identification techniques have improved the understanding and classification of inherited hair disorders.
research Classification Framework for Healthy Hair and Alopecia Areata: A Machine Learning Approach
Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.