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This article discusses the historical search for the cause of hair loss and its treatments, highlighting the popularity of hair restoration surgery for addressing androgenic alopecia, but reports no new clinical results.

This article proposes enhancing the Norwood-Hamilton scale for assessing hair loss patterns but reports no new clinical results.

This review discusses the classification of female androgenic alopecia using the Ludwig classification and details the hair growth cycle but provides no new clinical results.

In this study, researchers developed a deep learning model that efficiently classifies five degrees of harm with high accuracy, achieving up to 98% precision, recall, and F1-score across various harm levels, indicating strong potential for practical application in automated harm evaluation.

This study found that patients with severe male pattern hair loss had lower hair density in the occipital region compared to those with mild or moderate cases.

Hair transplantation is a surgical procedure to move hair to bald areas, requires good donor hair, and results show in about a year.

Hair transplantation is a treatment for hair loss mainly caused by genetics, with various techniques and potential complications, and results visible after 8-12 months.

This article reviews definitions, classifications, and treatments for female pattern hair loss, including newer therapies like adenosine and phototherapy, but reports no new clinical findings.

This study developed a deep learning framework and quantitative model that accurately predict basic and specific classification in male androgenetic alopecia by analyzing trichoscopic images.

This study found that in Korean patients, cardiovascular disease-related risk was significantly associated with male sex, moderate to severe androgenetic alopecia, and particularly FV-type alopecia.

This review discusses the significant progress in the diagnosis and treatment of hair loss disorders over the last 30 years and reports no new clinical results.

This study found that human hair can be classified into eight main types based on objective measurements of shape, rather than ethnic categories, enhancing the understanding of hair diversity globally.

This review discusses histopathologic findings in diagnosing primary cicatricial alopecias and emphasizes the importance of correlating histology with clinical presentation for accurate diagnosis; it reports no new results.

In this study, 42% of healthy men aged 18-49 showed moderate to extensive male pattern hair loss, with prevalence increasing significantly with age.

This article proposes a classification for small graft transplants that includes technical factors to improve communication and facilitate comparative studies, reporting no new clinical results.

This study introduced a new classification method for male pattern baldness in Korean men, detailing six types that could guide hair restoration surgery and further research.

This article proposes a machine learning framework for classifying healthy hair and alopecia areata using image processing and classification techniques, but does not report new clinical findings.

This study classified long COVID patients into five symptom clusters and found that clusters 2 and 3 were associated with higher rates of autonomic dysfunction and work absences, respectively.

This study, involving an international panel of 16 psychodermatology experts, proposed a new classification system for psychodermatology disorders that aims to unify previous classifications and improve their management by systematizing disorders into two main categories: primary mental health disorders and primary skin disorders.

This review explores follicular unit micro-graft hair transplants for androgenetic alopecia, emphasizing their painless and permanent hair restoration capabilities, but it presents no new clinical findings.

This study suggests that curl pattern classification could help improve patient communication and risk stratification in hair loss disorders, but its clinical utility in dermatology needs further validation.

The document explains how hair loss patterns in men and women, known as Androgenetic alopecia, are classified using the Hamilton-Norwood system for men and the Ludwig grade system for women.

This study observed that male pattern hair loss patients are getting diagnosed earlier and presenting with milder forms, possibly due to early puberty, and noted frequent familial predisposition and comorbidities like seborrheic dermatitis.

In this study, researchers found significant associations between trichoscopic features and the severity of androgenetic alopecia in Korean participants, suggesting trichoscopy as a useful tool for early detection and monitoring by identifying indicators like vellus hairs and follicular unit changes.

This study highlights the need for personalized hair care plans based on scalp type and environmental factors, underscoring the importance of targeted product selection and the involvement of professionals to create effective solutions for modern lifestyle issues.

This study highlights the importance of creating customized, evidence-based hair care solutions by considering scalp types and environmental factors, confirming the effectiveness of multidisciplinary approaches integrating dermatology, cosmetology, and trichology to develop safe and efficient products and treatments.

This study found that female pattern hair loss was present in 12.5% of PCOS patients examined, with most cases in younger women, highlighting early detection and management importance.

This study used machine learning models, such as Convolutional Neural Networks (CNN), to accurately differentiate False Daisy from similar plants like Smooth Joyweed.

This study suggests that the EULAR/ACR classification criteria for SLE may help predict organ damage, particularly in renal, cardiovascular, dermatological, and gonadal domains.

Dr. Yarborough denied endorsing Derma Genesis and was mistakenly represented due to his office manager's error; also, over 30% of tested skin products were contaminated with bacteria.