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Proteomic analysis can identify genetic differences in mouse hair, helping understand hair defects and variations.

This study found that the absence of sebaceous glands may be an early factor in the development of keratosis pilaris, leading to hair shaft and skin barrier abnormalities, independent of filaggrin mutations.

This study revealed that deleting EZH2 in mesenchyme-derived cells of the female reproductive tract led to impaired uterine gland development and pregnancy loss in mice, highlighting EZH2's crucial role in fertility.

This study introduces PROMETHEUS, a framework that organizes causal claims from scientific texts into navigable and persistent "causal atlases," enhancing research by highlighting localized evidence, agreement, and contradictions within complex data sets.

This review discusses idiopathic hirsutism, potential underlying mechanisms, and various therapeutic approaches without providing new clinical results, and emphasizes the need for further research on well-defined patient groups.

This study found that a cellulose membrane significantly shortened the healing time and reduced the ulcer area in patients with chronic venous leg ulcers compared to a standard antimicrobial dressing.

This study introduced a novel, weakly supervised method for segmenting hair in Scanning Electron Microscope images using simple image-level annotations, achieving over 30% improvement in mean Hausdorff Distance compared to Unet and SAM, while enhancing interpretability and refinement.

This article provides tables summarizing various medical conditions and symptoms related to COVID-19, sepsis, and cardiovascular issues, but it does not report new research findings.

This study explored peripheral blood immune dysregulation in alopecia areata through single-cell analyses, identifying systemic changes linked to disease severity and key signaling roles for monocytes, NK cells, and memory T cells, suggesting potential therapeutic targets.

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.

Data-driven methods can help understand microbiota's role in diseases and develop personalized treatments.

This article discusses the potential benefits of GcMAF and oral MAF, developed by "Saisei Mirai", for cancer and other conditions, but reports no new clinical results.

This study found that oral spironolactone improved or maintained hair condition in females with scarring alopecia and female pattern hair loss, with 83% of patients tolerating the treatment well, despite some side effects like hyperkalemia and leg cramps.

This study found that the ablation of Esrp1 and Esrp2 disrupts epithelial tight junctions by affecting Arhgef11 isoform expressions, highlighting a potential mechanistic link between splicing alterations and epithelial barrier defects.

This study describes a follicular automaton model that simulates human hair cycles and may replicate hair pattern evolution seen in diffuse or androgenetic alopecia.

This study utilized a pigmented human epidermal equivalent model to incorporate melanocytes into the epidermis and found enhanced differentiation potential compared to conventional in vitro systems, reflecting in vivo cellular trajectories and highlighting melanocyte-to-keratinocyte communication pathways.

This study demonstrated that in mice, the absence of Jagged-1 expression in skin-resident regulatory T cells significantly delays wound healing by reducing the accumulation of neutrophils, highlighting the role of Jagged-1 in coordinating immune cell recruitment during injury.

This study found that Nubian ibex have developed genetic adaptations in response to their desert environment, including enhanced skin barrier, DNA repair, viral response, and metabolism of toxic compounds.

This review discusses the epidemiology, causes, diagnosis, and management of hirsutism in women, noting that effective treatment requires addressing the root cause as well as the hair growth.

The congress highlighted new gene therapy techniques and cell transplantation methods for treating diseases.

This case report describes a 77-year-old woman with female pattern hair loss and elevated testosterone levels, who showed no improvement with minoxidil and lacked adrenal tumors on imaging.

This Ph.D. project aims to evaluate the self-assembling potential of hair keratin extracts and study the cellular response to both crude and purified keratins, highlighting their potential applications from biomedical to water remediation.

In this study, the ChatGPT-5 model accurately answered 76.47% of questions on the Polish endocrinology specialty exam, surpassing the 60% passing threshold, yet its role in clinical decision-making remains uncertain, highlighting the need for further research.

In this review, the authors discussed optimal resources and books for dermatology residency training, identifying useful materials by conducting a Google Book search and incorporating their own experiences to recommend an ideal book set for MD students.

COVID-19 can cause different types of hair loss, with telogen effluvium being the most common.

This article reviews the design and objectives of the Rotterdam Study, as well as summarizes major findings, without reporting new results.

ChatGPT can be a helpful dermatology resource but should not replace professional consultations.

This study observed that patients with COVID-19 had many conditions and phenotypes that increased post-infection, varying by demographics and infection wave, which could enhance understanding and diagnostics of Long-COVID.

This review outlines drug repurposing as an efficient, low-cost strategy to identify new uses for existing drugs, highlighting various computational and experimental approaches as well as publicly available databases to aid in personalized pharmacotherapy.

This study observed that using the Fisher score feature selection approach with capsule network models led to a promising 94% accuracy in diabetes detection, indicating its potential as a diagnostic tool.