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This database provides detailed physiological parameters of porcine skin to enhance the MPML MechDermA Model, improving dermal absorption predictions for human studies in the Simcyp Simulator.

This study found that activating Nrf2 in human hair follicles significantly reduced oxidative stress, lipid peroxidation, and protected against hair growth inhibition, suggesting a protective role for Nrf2 against redox insult in this context.

This research explores the pathogenesis of benign prostatic hyperplasia and evaluates the combined effect of finasteride and anastrozole in treating BPH in a rat model, but reports no new results yet.

This study is designed to explore the pathogenesis of BPH and assess the effectiveness of combining finasteride and anastrozole as a treatment in rats, with a focus on genetic polymorphisms and hormone regulation.

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.

This study identified 14 genes affected by copy number variants that may contribute to alopecia areata, including four genes notably involved in autophagy and chromatin remodeling.

In this study, researchers developed a predictive model for the onset of alopecia areata by analyzing six datasets to identify key feature genes and employing various machine learning algorithms, ultimately finding the XGBoost model most effective for clinical application.

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.

This study presents a new approach to automatically remove hair artifacts from dermoscopic images, which reportedly performed well compared to existing methods like DullRazor using the PH2 datasets.

This study observed that dandruff in Indian women is associated with a distinct scalp microbiome, including specific bacterial and unknown Malassezia species, with implications for nutrient homeostasis and cell-host adhesion pathways.

In this study, a newly developed nanoparticle-loaded hydrogel wound dressing demonstrated significant antibacterial, antioxidant, anti-inflammatory, and proangiogenic activities, effectively reducing pain and promoting healing in a murine burn wound model while preventing infection by *Staphylococcus aureus*.

This review summarizes the link between acne pathogenesis and skin barrier dysfunction, noting that more severe acne correlates with greater skin barrier damage, but reports no new clinical results.

This study prepared and evaluated a polyherbal hair oil using plant-based ingredients, finding that it met standard parameters and effectively addressed hair problems such as growth and dandruff, with FDA approval for clinical use.

This study found that metabolite levels in hair samples differ significantly by hair color and segment, leading to recommendations for best practices in hair metabolomic studies.

This symposium reviewed strategies to advance stalled drug molecules, discussed common regulatory hurdles, and explored options for repurposing drugs, but it reported no new research findings.

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 found that the Arabidopsis cation chloride cotransporter CCC1 is critical for regulating pH in the trans-Golgi network/early endosome, impacting plant growth and stress response.

This study developed new genetic prediction models for male pattern baldness with improved accuracy by utilizing a large set of markers and independent datasets, making them the most reliable available for this trait.

In this study, oral care products like foams and a spray, similar to tap water, improved salivary pH and oral clearance rates after exposure to Coca-Cola® in young adults, but no significant differences were found between these products and tap water.

This study formulated and evaluated a pure herbal hair oil using fenugreek seeds and aloe vera, reporting that the oil effectively promotes robust hair growth, offers anti-fungal and anti-dandruff properties, and enhances hair glossiness, surpassing the efficacy of existing marketed products.

This study found several microRNA-related genetic variants linked to epithelial ovarian cancer risk, with a notable association at the 17q21.31 region, suggesting potential new susceptibility genes.

This review discusses recent advances in stimuli-responsive nanoformulations for CRISPR-Cas9 delivery, highlighting their design rationales and potential biomedical applications, but reports no new experimental results.

This study highlights that hydrogel formulations unexpectedly prolonged healing in trials, pointing to a need for design based on detailed pathophysiological insights rather than empirical methods, and suggests technologies like AI materials optimization and 3D bioprinting to aid their clinical use for cancer survivors.

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 study concluded that the receptor-like kinase ERULUS, regulated by auxin, is crucial for modulating cell wall composition and pectin dynamics during root hair growth in Arabidopsis.

This study re-analyzed single cell RNAseq data and confirmed longstanding views on keratin gene regulation in keratinocytes, while challenging assumptions about their role in cellular differentiation states.

This study provided the first proteome dataset for alopecia areata, revealing novel pathways in the disease mechanisms that may lead to new therapeutic targets.

This study aims to use a comprehensive health data set to develop a statistical model that can improve personalized and preventive health care by understanding relationships between various health parameters in individuals.

In this study, researchers used genetic data from over 52,000 men to identify over 250 genetic loci associated with severe hair loss and developed a predictive algorithm for determining hair loss risk.

In this study, a pH-responsive microneedle patch was developed, showing potential in rat models for treating spinal cord injuries by reducing inflammation, promoting nerve regeneration, and supporting neurogenesis, which contributed to improved motor and neurological recovery.