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Scale created to measure hair loss in men and women; MK-386 reduces acne; Niaspan treats dyslipidemia; minoxidil increases heart rate.

This article proposes a new classification, the Obsessive-Compulsive Insight Continuum, to help dermatologists better understand and diagnose skin disorders with obsessive-compulsive features.

This discussion provides a historical overview of modern hair restoration surgery and proposes a standardized graft classification system, but reports no new clinical results.

This review discusses erosive pustular dermatosis of the scalp, including its characteristics, potential triggers, and its classification as a neutrophilic dermatosis, but reports no new clinical findings.

This study found that temporal hair loss is evident in Korean women with female pattern hair loss, suggesting it should be included in classification systems like the BASP.

This study found that while a modified BASP classification for pattern hair loss could classify previously unrecognized types, it was less accurate and harder to use than the existing BASP classification.

This study found that the BASP classification is an effective and easily remembered method for diagnosing and treating male and female pattern hair loss in the Indian population.

This review covers the development and validation of classification criteria for systemic lupus erythematosus, detailing the changes from the 1982 ACR criteria to the 2012 SLICC criteria, and reports no new results.

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 classified hairline contours in Asian women and concluded that their refined hair transplantation techniques may help correct wide foreheads with M-shaped or rectangular hairline contours.

This review proposes a new classification for telogen effluvium, identifying three pathogenetic types with a common feature of profuse hair shedding, but reports 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 study found that treatment modalities and patch size influence hair regrowth patterns in alopecia areata patches.

This book review examines various classification and treatment methods for acne scars, emphasizing the complexity and need for multiple therapeutic approaches, but reports no new clinical results.

The CWARTS tool is a promising method for assessing warts and could improve treatment and research.

Classifying hair diseases, like alopecia, is difficult and needs more research to understand their causes.

This study presents a new classification of adult human scalp hair patterns based on high-resolution photographs, which may assist hair restoration surgeons and dermatologists in determining appropriate punch size for follicular unit extraction.

This review explores the complex interrelationships among different properties of natural hair fibers and underscores the need for a holistic taxonomy to improve data interpretation across disciplines, but it reports no new experimental results.

This study proposes a new, objective method to classify human hair into eight categories based on specific shape measurements, rather than traditional ethnicity-based classifications.

This study identified five distinct scalp whorl patterns, noting that white males have the most distinct whorls, while African Americans and women more often exhibit a diffusion pattern.

This study identified five distinct natural scalp whorl patterns and noted that White males have more distinct whorls, whereas African Americans and women often display a diffusion pattern.

This review discusses platelet-derived bio-products for tissue regeneration in various medical fields and reports no new clinical results; it highlights the need for a standardized classification to compare clinical outcomes effectively.

This study developed an automated image analysis framework for diagnosing hair disorders using trichoscopic images, reporting a Random Forest classifier as having an 86.67% accuracy in distinguishing between different scalp pathologies based on quantitative image features.

This study found that Korean patients with androgenetic alopecia had higher rates of cardiovascular diseases and related risk factors than those without the condition, with variations by severity and type of hair loss.

This editorial proposes a new classification for alopecia areata that incorporates the SALT score and body hair involvement, aiming to improve the assessment and treatment outcomes.

This study discusses various anti-cancer therapies, including chemotherapy and immunotherapy, emphasizing the challenges in classifying these medications due to their diverse chemical compositions, mechanisms of action, and effectiveness against different types of cancer.

This study aims to develop an automatic machine learning-based method using the VGG-19 model to accurately classify various hair and scalp diseases.

This study developed a leakage-resistant machine learning framework for classifying hair loss types, emphasizing transparency through explainable AI. Among tested models, Extreme Gradient Boosting excelled, achieving high accuracy and stability on both cross-validation and holdout datasets.

Alfredo Rebora suggests a simpler classification for hair loss and a new test for easier diagnosis.

In this study, researchers characterized the clinical features of ophiasis, an uncommon type of alopecia areata, and proposed a new subtype classification that may help predict treatment response and guide management, noting that ophiasis generally has a chronic and refractory nature.