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This research presents the Dodatek A model, elaborating on androgen function through new mathematical indices and methodological improvements, shifting focus from serum hormone concentrations to system interactions to better describe androgen activity comprehensively.

This article provides no abstract or new research findings; it appears to be a citation entry without detailed content.

This study reports a complex network of blood lncRNA and associated pathways in alopecia areata but suggests further research is needed for verification and understanding of these findings.

In this study, researchers conducted an exploratory re-analysis of miRNA dysregulation and aging-related target enrichment using publicly available data on female pattern hair loss, comparing 3 FPHL scalp samples to 5 healthy female controls, and emphasized that the findings are preliminary and require further validation.

This study found that a deep learning model can potentially improve the diagnosis and staging of alopecia areata with high accuracy and reliability.

The review suggests the study on male pattern baldness needs to improve in areas like sample size, methodology, and bias for better quality and credibility.

This study analyzed social media posts and found discrepancies between patient-reported satisfaction and emotional responses to alopecia areata treatments, highlighting potential gaps between perceived and clinical efficacy.

This article updates a prior work on pharmacophore modeling and highlights the advances in 3D database searching technologies for drug design, without presenting new research findings.

This study found that brindled mottled mice, a model of Kinky hair syndrome, exhibited abnormal development of catecholamine neurons, with increased TH-immunoreactive neurons and altered neurochemical profiles compared to controls.

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 discusses the implications of deterministic chaos in pathology, emphasizing its potential impact on predicting biological behavior of lesions, and reports no new experimental results.

This study conducted a meta-analysis and found that men with both frontal and vertex male pattern baldness have a slightly increased risk of developing prostate cancer, though most data was from Caucasian populations and effect modification by genetic variations was not assessed.

This study provides evidence supporting the feasibility of presurgical, window-of-opportunity models to evaluate the preventive potential of candidate agents in cancer, using cases from breast, prostate, and colorectal settings.

In this exploratory study of trigeminal neuralgia patients undergoing microvascular decompression surgery, differential protein expression in plasma and cerebrospinal fluid was observed between responders and non-responders, suggesting potential biomarkers to predict surgical success and providing insights into the mechanisms of pain relief.

In this study, researchers proposed a deep learning approach combining genetic, hormonal, scalp health, and lifestyle data to predict hair loss, employing CNNs for image analysis and RNNs for modeling data over time, although specific results are not reported.

This study investigated the modes of action of selected pesticides, suggesting that prochloraz and tebuconazole are linked to reproductive disorders via steroidogenesis disruption, while mancozeb involves inflammatory processes.

This study found that midazolam, unlike clonazepam, increased neurosteroid levels and affected synaptic inhibition and plasticity in rat hippocampal neurons, suggesting unique actions via dual receptor activation.

This study describes an AI-powered system for diagnosing dermatological conditions, achieving a weighted score of 0.87 in both contextual understanding and diagnostic accuracy, suggesting it could enhance tele-dermatology applications by supporting remote consultations and care access in underserved regions.

This review identified evidence gaps in NHIRD, emphasizing the lack of validated diagnostic criteria and the need for further research on ocular and systemic comorbidities associated with AA to enhance patient care and treatment strategies.

In this study, Dodatek A operationalizes the Functional Androgen Axis framework by defining three system-level indices and an efficiency metric to describe androgen function, incorporating key methodological improvements and acknowledging significant limitations for future empirical validation.

This article reviews the objectives and design of the Rotterdam Study and summarizes key findings across its focus on various diseases, without reporting new experimental results.

This review summarizes a meta-analysis suggesting that finasteride is most effective for improving symptoms and urinary flow in men with large prostates experiencing benign prostatic hyperplasia.

This paper reviews genome-based personalized medicine developments using Web services for analyzing SNPs in reproductive potential but reports no new clinical findings.

This study found that a medication error reporting system can significantly enhance patient safety through active participation of all stakeholders, with clinical pharmacists playing a crucial role in collaboration with other healthcare professionals.

This review discusses attempts to confirm low-dose effects in rodent endocrine studies and reports no findings; variability in control groups hinders demonstrating weak effects.

This bibliometric analysis identified the top 100 most cited articles on alopecia areata from the past 50 years, highlighting key research trends, with treatment studies being the most common focus and the Journal of the American Academy of Dermatology as the most published journal.

This study used machine learning to identify molecular predictors of drug response in alopecia areata, suggesting a tool for predicting treatment efficacy based on gene signatures.

This study expands the Drug Ontology to include therapeutic indications for resistant hypertension, malaria, and opioid abuse research, providing a framework for additional drug use representations beyond their original design.

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.