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This chapter reviews common cosmetic dermatology techniques but presents no new findings; it discusses treatments like emollients and laser therapy for conditions like photoaged skin and acne scarring.

This article presents a comprehensive guide for classifying human hair follicle cycle stages in vivo using scalp xenografts on immunocompromised mice, offering valuable resources for researchers in the field.

This review discusses the challenges in addressing female sexual dysfunction, focusing on the complexities of female sexual response, levels of dysfunction, clinical identification, and existing treatments, but presents no new clinical findings.

The article concludes that studying how skin forms is key to understanding skin diseases and improving regenerative medicine.

This study reported that the PM-DBiGRU model enhances aspect-level sentiment classification in drug reviews, outperforming existing methods on the newly proposed SentiDrugs dataset.

Machine learning is effective in predicting gene functions and their relationships with diseases.

This study found that a new FAW-FS algorithm improved recognition of depression in patients with androgenic alopecia, and comprehensive psychological interventions positively impacted their rehabilitation outcomes.

This study found that machine learning techniques, such as Random Forest, SVMs, and KNN, can significantly improve the early detection and determination of hair loss, potentially transforming treatment with more accurate and personalized approaches compared to traditional methods.

This study used machine learning to identify FDA-approved drugs afatinib, neratinib, and zanubrutinib as potential KRASG12C inhibitors for resistant non-small-cell lung cancer, highlighting the potential of AI in drug repurposing.

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 reports that publicly available large language models are currently less accurate than human experts in diagnosing trichoscopic images, suggesting the need for further development and specialized training for these AI tools in trichology.

This review discusses therapeutic deep eutectic solvents as promising "green" solutions for enhancing drug solubility and delivery through the skin, reporting no new clinical results and highlighting future research directions.

This review discusses the applications and potential of Bioengineered Artificial Skin Substitutes in cosmetics and pharmacology research, with no new clinical findings reported.

This review examines how mathematical modeling of the MAPK pathway, enhanced by single-cell proteomic data, improves understanding of regulatory mechanisms, predicts system behavior, and guides experimental research, emphasizing recent developments in modeling and inference.

This paper reviews advancements in 3D human skin models using bioprinting, organoid, and organ-on-a-chip technologies, noting improvements in physiological realism through vascularization and multi-omics data, but also highlighting challenges such as cost and lack of standardization that hinder clinical adoption.

The LTF gene may help predict and manage nonspecific orbital inflammation.

This study evaluated various NLP models for detecting bias in medical curricula, finding that fine-tuned BERT models perform well, whereas LLMs, despite being state-of-the-art in many tasks, are unsuitable for this application.

This study developed a model using cardiovascular radiomics to estimate biological heart age, finding obesity and other health factors strongly correlated with accelerated heart aging.

In a conditional knockout mouse model, this study found that loss of the transcription elongation factor SPT6 in basal keratinocytes led to psoriasis-like skin inflammation and delayed wound healing, suggesting SPT6 plays a crucial role in maintaining epidermal immune quiescence by suppressing proinflammatory NF-κB signaling.

This review discusses the expression of circadian genes in hair follicles and their potential for monitoring circadian-rhythm-related conditions, reporting no clinical results; the authors suggest combining hair sampling with other assessments for better insight.

This article reviews key questions in skin biology, particularly the mechanisms of hair follicle patterning and the role of stem cells in the epidermis, reporting no new results.

This study concluded that male mice are more susceptible to valproic acid-induced autism spectrum disorder than female mice, with noticeable differences in brain histoarchitecture and receptor protein levels.

This case report suggests that a proactive physical therapy model can be effective for improving physical function and meeting exercise guidelines in patients newly diagnosed with systemic lupus erythematosus.

This study presents an improved protocol for isolating and culturing whole neonatal cochlear explants, enabling detailed analysis of hair cells and spiral ganglion neuron cells while simplifying culture steps without sacrificing explant quality, and was successfully tested on mice and rat cochleas.

This study evaluated AI chatbots' responses to scabies-related questions, finding DeepSeek had the highest accuracy despite higher hallucination rates, while ChatGPT-5.2 provided more readable and reliable information, highlighting variability and the need for cautious use of AI in health queries.

This review discusses insights from scar-free animal models and cellular factors in skin regeneration, suggesting potential strategies for developing scar-free treatments in clinical and cosmetic practices, but reports no new clinical results.

This review outlines the key principles and clinical applications of multimodal non-invasive skin imaging technologies, emphasizing their combined strengths in enhancing diagnosis and treatment assessment in dermatology.

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.

This review discusses the use of zebrafish larvae as an alternative model for studying ototoxicity, facilitating large-scale screening for otoprotective compounds, but reports no new clinical results.