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This article discusses the dynamics of the "mole gaze" and cybersexism on the Web, analyzing interactions through personal and theoretical lenses, and suggests the need for both structural and psychological change to counteract these issues.

This case report describes a 33-year-old woman with long-standing scalp issues and hair loss, revealing an unusual connection to past melanoma, but it presents no new research results.

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 paper presents a new method using Convolutional Neural Networks for detecting hair and scalp diseases, aiming to enhance diagnostics accessibility through a web-based platform integration.

This study found that deoxycholic acid effectively reduces excess fat under the chin, showing significant volume reduction and increased patient satisfaction in both aesthetic improvements and recovery experiences among the 13 participants.

This article reviews various diagnostic tools for hair disorders, describing methods ranging from invasive to noninvasive, but reports no new research findings or clinical results.

This article critically assesses literature favoring horizontal over vertical sections for diagnosing scalp diseases and concludes that a qualitative, vertical approach improves diagnostic precision for alopecias.

This review discusses the unmet supportive care needs of men and women experiencing chemotherapy-induced alopecia and reports no new results, urging healthcare providers to tailor interventions to individual patient needs.

This report suggests a potential link between hyperprolactinemia and alopecia in women with autoimmune thyroid disease and emphasizes the importance of considering other causes in diagnosis.

This paper introduces an algorithm for using smart device-mounted microscopes to analyze scalp images and diagnose hair loss by extracting specific hair loss features.

This review discusses the advantages and limitations of various hair loss evaluation methods but reports no new results; it emphasizes the importance of cautious interpretation for these diagnostic tools.

This study introduced a novel deep clustering approach for melanoma detection from dermoscopic images, demonstrating improved performance over existing methods by mitigating class imbalance issues using a center-oriented margin-free triplet loss.

This study found that photoacoustic imaging can effectively measure follicle density and angles, even when follicles are not visible to the eye, providing a promising alternative to traditional photographic examination.

This study found that the ethyl acetate fraction of Hibiscus rosa sinensis petals significantly reduced serum glucose and glycated hemoglobin levels in diabetic rats, showing effects comparable to the standard drug metformin.

This study developed a deep-learning model using unannotated dermatology images from online forums, achieving 49.64% accuracy in classifying 22 skin diseases and 61.76% accuracy in detecting monkeypox, highlighting the potential of these images for skin disease diagnostics in China.

This text provides no research findings; it is a website's navigation and policy information for JAMA publications.

This study reports that microencapsulation of therapeutic cells with contrast agents enables visualization across multiple imaging modalities, potentially improving cellular immunoprotection and tracking after transplantation.

This case series highlights that diagnosing ovarian Leydig cell tumors can be challenging, and expert sonography is crucial for accurate identification, as imaging modalities like CT, MRI, and PET-CT may fail to detect them.

In this study, the authors found that applying hypobaric pressure to the skin significantly increases the transdermal permeation of large molecules by enhancing diffusion, despite the associated skin stretching and hair follicle enlargement not fully explaining this effect.

This study found that anisotropic osmolyte solutions may improve hair follicle turnover and condition in both in vitro and in silico models, as well as in human volunteers with hair disorders.

A man developed a rare blood vessel connection on his scalp after hair transplants, which was successfully treated with surgery.

This review discusses techniques and models for assessing hair growth activity but reports no new clinical findings, emphasizing the need for standardization and improved animal models.

This study reports that the ScalpEye system accurately diagnosed dandruff, folliculitis, hair loss, and oily hair with a precision range of 97.41% to 99.09%.

Innovative methods are reducing animal testing and improving biomedical research.

In this study, a mixture of tocopherol acetate, L-menthol, and stevioside was more effective in promoting hair growth in mice compared to tocopherol acetate or L-menthol alone.

This paper presents an RGB video microscopic system to monitor optical properties of hair shafts and follicles in vitro, but reports no new clinical results.

In this narrative review, the authors highlighted that AI-supported electronic health record analysis could help recognize Polycystic Ovary Syndrome/Polyendocrine Metabolic Ovarian Syndrome earlier, but also warned that these systems might perpetuate historical biases if not properly validated and interpreted.

This study established a new in vitro culture system that supports the growth and dynamic self-organization of hair follicle stem cells and their progeny, promoting a stable population equilibrium.

This study found that applying BMP2 stimulated limited regeneration of the amputated P2 bone in mice, but only when applied during a specific "regeneration window" after injury.

This study used integrated single-cell chromatin and transcriptomic analyses in developing mouse skin to uncover gene networks involved in skin lineage specification and identified Mef2c+ upper fibroblasts as potential precursors to certain muscle-like structures, with cross-species findings in human skin.