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360-390 / 1000+ resultsresearch A novel predictive model for the recurrence of pediatric alopecia areata by bioinformatics analysis and a single-center prospective study
A new model uses specific blood markers to predict if children's hair loss will return.
research Exploring Diachronic Changes of Biomedical Knowledge using Distributed Concept Representations
The document concluded that biomedical knowledge changes over time and the study evaluated a new method to track these changes.
research Collider bias undermines our understanding of COVID-19 disease risk and severity
Collider bias can distort our understanding of COVID-19 risk and severity.
research Relative efficacy of microneedling in the treatment of pattern hair loss: a protocol for a systematic review with network meta-analysis
Microneedling may be an effective treatment for pattern hair loss.
research Prioritizing Susceptibility Genes for the Prognosis of Male-pattern Baldness with Transcriptome-wide Association Study
The research identified genes linked to male-pattern baldness and potential drug targets for treatment.
research Enhancing diagnostic yield of monogenic diabetes through phenotypic and molecular reanalysis of 128 individuals with young onset hyperglycemia: highlighting the significance of accurate case characterization
Combining genetic and physical trait analysis improves diagnosis accuracy for monogenic diabetes.
research Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
research Neurospectrum: A Geometric and Topological Deep Learning Framework for Uncovering Spatiotemporal Signatures in Neural Activity
Neurospectrum effectively analyzes neural signals to predict and identify brain activity patterns better than traditional methods.
research Construction of the coexpression network involved in the pathogenesis of thyroid eye disease via bioinformatics analysis
Key genes and pathways involved in thyroid eye disease were identified, aiding potential treatment and diagnosis.
research Alopecia areata and adverse pregnancy outcomes: A systematic review and meta-analysis
research Review of: "“Toupee or not Toupee?” Sic (et Non). Social perceptions of Male Pattern Baldness (Androgenetic Alopecia)"
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.
research Collider bias undermines our understanding of COVID-19 disease risk and severity
Collider bias can mislead our understanding of COVID-19 risk and severity.
research The Polycystic Ovary Syndrome Evolutionary Paradox: a Genome-Wide Association Studies–Based, in silico, Evolutionary Explanation
The research suggests that the global distribution of PCOS is likely due to historical human migration and that genes affecting PCOS may have different impacts on males and females.
research Interactions between Lower Urinary Tract Symptoms and Cardiovascular Risk Factors Determine Distinct Patterns of Erectile Dysfunction: A Latent Class Analysis
Men's age, urinary symptoms, and heart health risks create different types of erectile dysfunction.
research Insights into anthropogenic threats and early mortality in the Guadalupe fur seal from a plausible mixed colony on the San Benito Archipelago, Mexico
Guadalupe fur seals at San Benito Archipelago face high mortality and health issues due to pollution and marine debris.
research Global, Regional, and National Burden of Alopecia Areata in Children and Adolescents Aged 0-19 years from 1990 to 2021 and Projection to 2040
Alopecia areata cases in children are rising, especially in females and low-income regions, with a projected increase in China and decrease in the USA.
research Supplemental material_PM_AGA
research Supplemental material_PM_AGA
research Mult-trait analysis of GWAS - Perceived youtfulness - UKBB
The conclusion is that certain traits, including perceived facial aging and BMI, are linked to perceived youthfulness differently in men and women.
research Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.
research Inferring Spatially Resolved Transcriptomics Data from Whole Slide Images for the Assessment of Colorectal Tumor Metastasis: A Feasibility Study
Using deep learning to predict gene expression from images could help assess colorectal cancer metastasis.
research 62202 Network meta-analysis (NMA) of FDA-approved JAK inhibitors for alopecia areata (AA) with at least 50% hair loss per SALT score
Some JAK inhibitors are effective for significant hair regrowth in alopecia areata.
research Identifying causal genes in alopecia areata using integrative analysis of differential expression and Mendelian randomization
Four genes are linked to alopecia areata, with two increasing risk and two offering protection.
research Cross-species amplification of human microsatellite markers in pig-tailed and stump-tailed macaques
Some human genetic markers work for genetic studies in pig-tailed and stump-tailed macaques, which can help in their conservation.
research An examination of Alzheimer’s disease and white matter from 1981 to 2023: a Bibliometric and visual analysis
The U.S., China, and the U.K. lead Alzheimer's and white matter research.
research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research Benzo[c]quinolizin-3-ones Theoretical Investigation: SAR Analysis and Application to Nontested Compounds
The research found a link between certain molecular features and the biological activity of BC3, which can help identify or create new active compounds.
research Assessment of college students’ mental health status based on temporal perception and hybrid clustering algorithm under the impact of public health events
A new method accurately measures college students' mental health by considering time perception and clustering techniques.