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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 research detailed a single-cell atlas showing dynamic hair follicle stem cell states associated with the hair cycle during aging in mice, highlighting differences in chromatin landscape linked to stem cell differentiation and quiescence, and providing a foundation for future exploration of aging reversal.

This review examines the use of computer vision techniques, specifically deep learning architectures and image processing algorithms, for detecting and assessing skin conditions like vitiligo and dermatitis, and highlights the need for disease-specific datasets to improve automated diagnostic tools in dermatology.

This study found that elevated LDL-C levels increased the risk of developing androgenic alopecia, whereas HDL-C levels showed no significant effect.

This study identified three hub genes—BMP4, POSTN, and WNT5A—that are closely associated with keloid fibroblast hyperplasia, suggesting they may serve as potential biomarkers for inhibiting this condition. Further research is necessary to fully understand their roles in keloid development.

This study surveyed UK patients who experienced adverse events from Botulinum Toxin for cosmetic purposes, finding 79% reported issues like long-lasting anxiety, and highlighting low awareness of regulatory bodies and reporting structures.

This study found that root hair length and density in rice are controlled by distinct genomic regions, with 18 regions identified but no overlap between the traits.

This study identified a gene variant in the TRPV3 gene that may explain the suri alpaca phenotype, characterized by longer and less crimped fleece, suggesting this variant's involvement in the development of these hair characteristics compared to the huacaya phenotype.

This review highlights recent research using single-cell RNA sequencing and machine learning in wound healing, revealing significant insights into fibroblast diversity, immune cell dynamics, and the spatial organization of cells, which may transform therapeutic strategies for chronic wounds, fibrosis, and tissue regeneration.

In this study, the researchers used Mendelian randomization to suggest a potential causal link between various gut microbiota and alopecia areata, finding that certain bacteria like Butyricimonas and Phascolarctobacterium may have protective effects, whereas others like Ruminococcaceae UCG003 might increase risk.

In this study, researchers using Mendelian randomization found a potential causal relationship between the gut microbiome and alopecia areata, with 16 gut microbial taxa showing links to the condition, though reverse causation results were not statistically significant.

This study analyzed FAERS data to explore the risk and onset patterns of autoimmune skin diseases associated with immune checkpoint inhibitors, finding a strong association particularly with bullous pemphigoid and emphasizing the need for vigilant monitoring of these adverse effects.

This study found that novel thiol-reactive cross-linking agents, particularly APA, significantly improved the tensile strength and elasticity of human hair fibers by effectively regenerating disulfide bridges, with potential applications for advanced hair repair treatments in the cosmetic industry.

This study supports the use of the chicken chorioallantoic membrane as an effective pre-clinical model for burn wound research and the screening of new therapeutic agents.

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 retrospective pharmacovigilance study reviewed adverse event reports from 2004 to 2025 for drugs treating benign prostatic hyperplasia, identifying distinct safety signals for α1-blockers, 5ARIs, and PDE5I, including some potential new adverse events that require further investigation.

This study integrated single-cell RNA-seq data from four previous studies to create a comprehensive human corneal cell state meta-atlas, revealing novel marker genes, rare cell states, and distinct transcription factors, and offering a tool to enhance future cornea research.

Custom software found that common allergy drugs might have new uses for various conditions and could improve survival in some cancers.

This study describes the PandaOmics platform, which uses AI and bioinformatics to identify new therapeutic targets and biomarkers for various diseases, demonstrating validation in laboratory and animal studies.

This study reviews AI's role in aesthetic medicine, noting it enhances diagnostic accuracy and personalized treatment planning, but faces challenges like ethical concerns, algorithmic biases, and regulatory issues that need addressing for successful integration.

This study identified three new genetic loci linked to sweat gland density in a GWAS involving 6,210 Han Chinese individuals, highlighting potential targets for understanding conditions like anhidrosis and hyperhidrosis and emphasizing the use of quantitative traits in genetic dermatology research.

This study used genomic analysis to reveal moderate genetic diversity, minimal inbreeding, and specific genes under positive selection in Xiangdong black goats, highlighting their unique adaptation traits and potential for breeding and conservation.

In a study on diabetic mice, researchers developed a protein-based hydrogel that leverages zinc ions and the natural compound phellopterin to promote cutaneous nerve regeneration, angiogenesis, and tissue remodeling in diabetic wounds, highlighting its potential for advanced wound therapy.

This abstract highlights the urgent need for rigorous research, quality assessment tools, and health economics analyses to integrate DTC telemedicine with traditional primary care for improved healthcare quality and efficiency.

This study reported that machine learning analysis of protein profiles in hair segments achieved high accuracy in distinguishing women with non-suicidal self-injury disorder from healthy controls, suggesting hair proteomics as a promising non-invasive biomarker for stress-related psychopathology with potential clinical applications.

This review provides an analysis of the physiological and pathological aspects of polycystic ovary syndrome, emphasizing endocrine, metabolic, and inflammatory dimensions, but reports no new clinical results.

This study examined the molecular communication in psoriasis cells, highlighting unique immune cell interactions and identifying new features of the hair follicle cell-psoriasis axis. It suggests the potential for targeted therapies at the single-cell level to improve psoriasis treatment.

This review explains the genetic diversity of sheep wool keratin-associated protein genes and explores how this variation might be leveraged for selective breeding to enhance wool fiber traits.

This study offers evidence suggesting a probable causal role of certain gut microbiota in the development of alopecia areata.

Male hormones affect COVID-19 severity and certain drugs targeting these hormones could help reduce the risk.