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This study applied a prediction model based on five SNPs to Russian males with male pattern hair loss, finding a significant association between the AR genomic region and high dihydrotestosterone levels in these patients.

This study found that a random forest algorithm most effectively detected COVID-19, with high specificity and accuracy, among 10,862 individuals in an Iranian hospital setting.

In this research, authors found that skin-resident ILCs regulate sebaceous gland function and microbial balance, emphasizing an immune-epithelia system that supports host-microbe symbiosis.

This review presents an evidence-based algorithm for managing hidradenitis suppurativa in primary care, highlighting the need for more research on treatment effectiveness and the disease's pathogenesis.

This article reviews drug influences on hair growth without visible hair loss, noting several mechanisms that require detailed examination, but reports no new clinical results.

This review discusses the importance of androgen production and metabolism in hyperandrogenism, the use of specific serum markers for diagnosis, and the need for improved assays for clinical testing, but reports no new results.

Finasteride potentially treats hair loss by reducing DHT production.

This study found that MEGA PROTAC improved the prediction of ternary structures with higher maximum DockQ scores compared to the BOTCP method in 16 out of 22 test cases.

This study demonstrates that combining gene expression data with a random forest algorithm provides highly accurate diagnosis of childhood growth hormone deficiency, showing potential utility in distinguishing it from non-GHD short stature.

This review discusses characteristics of androgenetic alopecia in Asian patients and includes algorithmic management guidelines, but reports no new clinical findings.

This study found that supplementing soybean oil significantly increased the production of the cyclosporine A derivative [(4'-OH)MeLeu]4-CsA by 55.6%, offering potential enhancements for its clinical application.

This article discusses the hypothalamus-pituitary-testis axis in androgen production and spermatogenesis but presents no new research findings.

This review critically examines Forensic DNA Phenotyping, highlighting high accuracy in predicting certain traits but also legal and ethical challenges, particularly around regulatory fragmentation and issues of genetic privacy.

This study found that bloating is the most frequently reported symptom and a main predictor of polycystic ovary syndrome among women using the Flo app across five countries.

This review discusses the reclassification of pregnancy-related skin diseases and provides a management algorithm but reports no new clinical findings.

This study found that trichoscopy is essential for evaluating the severity of alopecia areata and predicting treatment responses, contributing to more personalized patient management.

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 study found that metabolism-related genes significantly impact the prognosis and metastasis in breast cancer, and the development of prediction models may guide personalized therapeutic strategies.

This study presents a computational approach, CATNIP, which repurposes drugs using only their biological and chemical information, predicting new uses like adrenergic uptake inhibitors for Parkinson's and vandetanib for Type 2 Diabetes.

In this study, researchers identified six novel prognostic biomarkers for bladder cancer and developed a predictive model that effectively stratifies patients into high-risk and low-risk groups based on immune cell infiltration differences and gene expression.

This study developed finasteride-containing granules using a method that improved follicular targeting for androgenic alopecia and reported potential for easy industrial production.

This article reviews differential diagnosis approaches for 46,XY DSD, proposing a diagnostic algorithm focused on biochemical and genetic data, without presenting new clinical results.

This study used machine learning models to analyze PCOS symptoms for early diagnosis, finding Support Vector Machine and VGG16 algorithms achieved high accuracy rates of 94.44% and 98.29% respectively.

This study found that, among COVID-19 patients in South Korea, hypertension, diabetes, and other comorbidities significantly increased mortality risk, with the age-adjusted Charlson comorbidity index being a strong predictor of death.

In this study, researchers measured the solubility of Minoxidil in supercritical CO₂ under various temperature and pressure conditions and created models to estimate solubility based on different predictive approaches.

This study found that certain trichoscopic patterns, like exclamation mark hairs, were associated with active or mild alopecia areata in Turkish patients, aiding in diagnosis and prediction of the disease.

This study designed a novel model for 5a-reductase enzyme inhibitors using pharmacophore and 3D QSAR techniques, potentially allowing for improved prediction and development of drug therapies targeting benign prostatic hyperplasia.

This review highlights the promising role of stem cell therapy in treating resistant diseases, while also addressing the challenges in production and clinical application, emphasizing the need for standardized manufacturing and quality assurance to enhance efficacy and safety in clinical translational research.

In this study, researchers at the Laboratory of Regenerative Medicine WUM are exploring the long-term effects of SARS-CoV-19 infection, focusing on stem cell mobilization and engraftment processes, and utilizing advanced diagnostic techniques to develop algorithms for rare disease classification, including amyloidosis.

This study mapped copy number variations in Chinese fine-wool sheep, identifying regions linked to important traits like milk production and growth, and highlighting a strong selection signal at the RXFP2 gene.