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This study developed an objective standard grading system for evaluating hair damage using scanning and transmission electron microscopy.

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 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 case report describes a patient with a hepatitis C diagnosis whose acral rash, initially unresponsive to psoriasis treatment, showed significant improvement with oral zinc sulfate, suggesting a diagnosis of necrolytic acral erythema.

This study found that a pre-trained image processing technique accurately classified scalp conditions with 85% accuracy, suggesting potential for automated diagnosis and treatment selection.

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 found that finasteride 1 mg improved hair growth in 85.7% of Korean men with androgenetic alopecia over five years, with varying effectiveness depending on the type of hair loss.

This review summarized and classified 32 approved synthetic and natural-identical antioxidants, examining their regulatory status, safety, pharmacological properties, and effectiveness on human health, aiming to clarify their antioxidant actions and encourage further research in the field.

This review discusses the limitations of current hair classification systems and highlights the need for standardized reporting of key hair characteristics to improve study comparisons; it reports no new results.

This study reported that while general patient characteristics and adverse event incidence for eribulin were comparable between a healthcare claims database and post-marketing surveillance, significant differences in some side effects such as neutropenia were observed.

This study concluded that the Scalp Photographic Index is a reliable and validated tool for objectively classifying and scoring various scalp conditions.

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 developed a new neural network model (AA-GAN-AB-MTEDeep) to enhance Alopecia Areata classification using synthetic scalp images, achieving an accuracy of 96.94%.

This study found that an adapted version of the Hamilton-Norwood classification improves reliability in assessing pattern hair loss and could aid population studies examining its association with cardiovascular disease.

This study reported that a new deep learning algorithm using Mask R-CNN improved hair follicle classification accuracy by 4 to 15%, suggesting potential clinical application for enhanced hair loss diagnosis.

Dihydrotestosterone (DHT) mainly affects nearby cells, doesn't significantly change prostate hormonal environment or cancer risk, and doesn't play a main role in causing hair loss or acne. More research is needed on its effects on heart health, sexual function, and bone health.

This review discusses the distinction between platelet-rich plasma and stem cell-based therapies in regenerative medicine, highlighting their different roles and stressing the importance of honest representation by commercial and health entities.

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.

The authors concluded that their new grading system can effectively classify early female pattern hair loss and evaluate treatment progress.

This review evaluates health claims regarding spermidine's contribution to normal hair growth and finds no evidence to support a cause-and-effect relationship.

This article reviews the impact of the 2000 revision of the European Patent Convention on drug patent protection and raises concerns about its effects on generic substitution and healthcare professionals.

This study utilized a UHPLC-HRMS method to identify eight active pharmaceutical ingredients, such as ketoconazole and minoxidil, in 26 out of 100 analyzed cosmetic products.

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 review explores keyword advertising in online advertising, noting its appeal due to audience reach and campaign optimization, but reports no new research data.

In this study, VGG19 slightly outperformed MobileNetV2 in hair disease classification accuracy, achieving 98% compared to MobileNetV2's 97%. However, MobileNetV2 was faster and more computationally efficient, making it suitable for resource-limited settings.

This study found that, in Germany between 2016 and 2020, alopecia areata had an annual prevalence of 210 cases per 100,000 and an incidence of 72 cases per 100,000, with higher rates in specific regions and associated with comorbidities like atopic dermatitis and psoriasis.

This study found that corticosteroids were the most common treatments for alopecia areata in the USA, but the substantial disease burden suggests a need for more effective options.

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.

This study documents the therapeutic uses of 15 plant species for various ailments in the Bondla area of Goa, drawing on knowledge from local healers and elderly residents.