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This study found that the incidence of major adverse cardiovascular events in patients with psoriasis, psoriatic arthritis, and axial spondyloarthritis who received Ixekizumab was low and stable over 3 to 5 years across 25 clinical trials.

This study used bibliometric analysis to evaluate global research on AI applications in dermatology, identifying 406 relevant papers and highlighting current priorities such as machine learning for wound progression, AI in teledermatology, and applications for skin diseases.

This study established reference values for trichoscopic parameters of hair density and thickness in healthy Indian males, providing a foundation for future research.

In this study on Angora rabbits, researchers identified genetic factors influencing wool fiber diameter by analyzing hair follicle proteins, highlighting keratin family members and other proteins as key contributors to fiber differences between coarse and fine wool.

This article discusses adverse event reporting in clinical trials of finasteride for androgenic alopecia and reports no new clinical findings.

This study identified aging-related epigenetic and transcriptomic biomarkers and suggested that curcumin might target and inhibit the JUN gene, implicating potential therapeutic strategies against aging.

This study identified eight genetic markers associated with androgenetic alopecia, suggesting that these SNPs could influence individualized therapeutic responses and highlight the need for personalized treatment strategies.

This retrospective study found that serum hormone levels and MRI detection of ovarian nodules contributed to distinguishing virilizing ovarian tumors from ovarian stromal hyperthecosis in postmenopausal women, though histopathology remains crucial for diagnosis.

This study identified five potential molecular targets for future androgenetic alopecia therapy using genome-wide gene-expression investigations and bioinformatics analyses.

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 review aims to help medical practitioners understand inferential statistical methods to critically evaluate clinical trial design and analyses, but it doesn’t present new research findings.

This review discusses the integration of omics analyses in androgenetic alopecia research, reporting no new clinical results but suggesting that collaborative multi-omics studies may enhance understanding of AGA's pathomechanisms.

In this study, researchers are constructing a comprehensive data set from 997 adult participants in Japan to develop a statistical model that explores the relationships among various health parameters, aiming to enable personalized and preventive health care interventions based on empirical data.

This article reviews trichoscopic techniques for diagnosing common hair loss conditions and presents a revised algorithm for identifying specific features of cicatricial and noncicatricial alopecia, but reports no new clinical results.

This analysis of England's National End of Life Care Intelligence Network reports that the initiative improved palliative care using national data, addressing disparities in care especially among the poorest patients and those from non-white ethnicities over 14 years.

This study analyzed NHANES data from 2005 to 2020 and found that sunscreen-wearing behavior was more common among females than males, individuals aged 29-56 compared to those aged 0-28, and significantly less likely among non-Hispanic Black respondents compared to non-Hispanic White respondents.

This study examines the historical and current development of cancer registries, highlighting their pivotal role in understanding and managing skin cancer, particularly noting improvements in the data quality of nonmelanoma skin cancers since 2013.

This study identified robust susceptibility genes and potential drug candidates for male-pattern baldness, providing insights into the condition's molecular mechanisms.

This study analyzed RNA-seq data from various animal breeds and suggested that similar molecular mechanisms may underlie wool fineness in different sheep breeds. Researchers identified 32 candidate genes related to hair follicle regulation, providing insights for molecular breeding and evolutionary studies.

This study conducted a meta-analysis of gene expression data from alopecia areata patients, identifying 5109 differentially expressed genes and highlighting enriched pathways like JAK-STAT signaling, providing insights into the disease's pathogenesis and potential treatment targets.

This review analyzed data on alopecia types associated with COVID-19, suggesting androgenetic alopecia may be a risk factor for severe COVID-19, while telogen effluvium often follows infection and alopecia areata tends to relapse in those with preexisting disease.

This study examined FAERS data and found an increasing trend in alopecia areata cases, with monoclonal antibodies most frequently linked to the condition.

This meta-analysis utilized genome-wide association data to explore the genetic traits related to perceived youthfulness across different sex groups in the UK Biobank, incorporating factors like facial aging and lifestyle habits, but the abstract does not report specific results.

In this analysis, safety data from two clinical trials showed that baricitinib for severe alopecia areata had predictable side effects like infections and elevated CPK, with some serious adverse events noted at low incidence rates; no deaths were reported.

In this study, researchers analyzed spaceflight data from various sources and found that skin issues during spaceflight are linked to DNA damage, mitochondrial dysregulation, and gene alterations, while also highlighting the skin's adaptability post-flight.

This study analyzed post-marketing data from the U.S. FDA Adverse Event Reporting System and identified both known and new safety concerns for Avacopan, an anti-neutrophil cytoplasmic antibodies-associated vasculitis treatment, emphasizing the need for monitoring during early treatment stages.

This research investigated immune cell involvement in various types of inflammatory alopecia by analyzing gene expression data from scalp samples, revealing distinct cellular changes in conditions like Alopecia Areata, Frontal Fibrosing Alopecia, Lichen Planopilaris, and Central Centrifugal Cicatricial Alopecia, which may inform future therapeutic targets.

This study used single-cell RNA-sequencing data from mouse skin to reveal that fibroblasts show high transcriptional plasticity during wound healing, forming transient microniches early on and stratifying scar tissue into distinct molecular layers over time.

In this study, the researchers performed a comparative analysis of drug-target interaction data from multiple databases to refine drug repurposing strategies, revealing potential associations between drug characteristics and therapeutic groups, and predicting repositioning opportunities for FDA-approved drugs across major cancer types.

This study analyzed pexidartinib-associated adverse events from FDA data and reported common events such as hepatic issues and systemic reactions. It highlighted sex-specific susceptibilities and reinforced the need for risk mitigation and long-term monitoring in tenosynovial giant cell tumor management.