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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.

This analysis explores possible causes of menstrual irregularities in women with PCOS following COVID-19, but reports no new clinical findings.

This study introduces an extended approach to the Bonferroni procedure that accounts for correlations among endpoints, aiming to improve test power while maintaining strong control of the family-wise type I error rate in clinical trials.

This article reviews the cellular dynamics affecting dermal papilla size in androgenetic alopecia and suggests targeting DP size could improve therapies, but it presents no new clinical data.

This study found that serum irisin levels were significantly lower in patients with acne vulgaris compared to healthy controls and were negatively correlated with insulin resistance and disease severity.

In this study, the integration of artificial intelligence in medicine was discussed, highlighting its potential to enhance diagnostic processes, optimize therapies, and provide advanced patient monitoring despite challenges like data inconsistency and limited model transparency.

This study found higher serum prolactin levels in patients with psoriasis, vitiligo, and alopecia areata compared to controls, and prolactin levels correlated with disease severity in psoriasis and alopecia areata but not vitiligo.

This study suggests that artificial intelligence could significantly enhance histology education for medical and dental students, but its implementation faces challenges like cost, accuracy, and ethical considerations.

This study highlighted Keratin 17's critical role in cancer therapy resistance across several malignancies, involving various signaling pathways, and identified it as a significant biomarker and potential therapeutic target, particularly in reversing resistance.

This study found that METTL1 is upregulated in papillary thyroid cancer tissues and promotes cancer cell proliferation and metastasis through its tRNA methyltransferase activity.

Skin aging reflects overall body aging and can indicate internal health conditions.

In this review, researchers explored the design of composite biomaterials for immunomodulation and their potential to influence immune cell behavior, which could be leveraged for treating diseases like cancer and improving tissue regeneration, while also addressing translational challenges such as biocompatibility and safety.

This review compiles existing data on frontal fibrosing alopecia and highlights the promise of 5-alpha reductase inhibitors as a treatment option, while noting the need for clarity on its cause and progression.

This study reviews methods to ensure the reliability of machine learning models in medical imaging, focusing on bias detection, data drift assessment, and accuracy estimation without ground truth labels to enhance integration into clinical settings.

In this study, researchers observed that organic traffic to Spanish contract cheating websites rose during the COVID-19 pandemic but decreased from 2023, possibly due to the increasing use of generative AI tools.

This review discusses the properties and therapeutic potentials of beta-sitosterol, highlighting a need for more detailed studies on its mechanisms and long-term effects in humans; it reports no new results.

This study reports two cases of Alopecia Universalis as a secondary autoimmune manifestation following Alemtuzumab treatment, highlighting the importance of screening and monitoring for such autoimmune responses.

This study introduces stem cell activity as a key factor influencing the effects of IFN-γ and TGF-β1 on autoimmune disease dynamics, showing that varying cytokine levels can modulate stem cell activity and immune privilege, impacting tissue regeneration and disease flares.

This literature review explores the role of biomarkers in personalized medicine for various dermatological conditions like Hidradenitis Suppurativa, Psoriasis, and Atopic Dermatitis, highlighting how they guide targeted therapies and the limitations of current markers in specificity, as reported by the authors.

This study suggests that macrophages, particularly CD206⁺ macrophages, play a crucial role in squaric acid dibutylester-induced hair growth in alopecia areata treatment.

This study conducted an in silico evaluation of Korean herbal compounds against key targets involved in androgenetic alopecia, finding Biochanin A, Saponin Re, and Emodin as promising candidates for topical treatments, but highlighting safety and topical formulation challenges.

In this randomized, double-blind, placebo-controlled trial, researchers found that a multi-targeted cosmetic formulation containing TrinogeniX™ significantly increased hair density and thickness in individuals with androgenetic alopecia without adverse effects, suggesting it as a potential safe and effective treatment option.

This review synthesizes recent research to propose a precision framework for treating androgenetic alopecia and alopecia areata based on genetic insights and pathway biology, highlighting the roles of androgen-receptor signaling, immune dysregulation, and emerging therapies like regenerative medicine and AI-assisted diagnostics.

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.

In this study, researchers evaluated various machine learning models for predicting type 2 diabetes risk, finding that Random Forest and K-NN models performed best in terms of precision, recall, accuracy, and other metrics using common symptoms as features.

This study found that hidradenitis suppurativa is associated with increased serum levels of hypoxia-inducible factor-1α, suggesting its role in the disease's pathogenesis and as a treatment target.

This review examines advancements in deep learning methods for detecting dermatological conditions from dermoscopic images, summarizing available datasets and suggesting future research directions, but reports no new 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 review suggests that the compound DRDE-07, originally a sulphur-mustard countermeasure candidate, could potentially be repurposed for skin protection due to its compatibility with pathways involved in oxidative stress and inflammation, though further experimental study is needed to confirm its therapeutic applicability in dermatology.

This review discusses the advantages of robotic hair transplantation using the ARTAS iX robot compared to manual Follicular Unit Extraction, emphasizing enhanced precision, speed, and hair preservation capabilities, and reports no clinical results.