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.
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330-360 / 1000+ results research Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events
A new method makes analyzing large datasets with rare events faster and more efficient.
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 Agglomerative clustering-based drugs graded for the risk signals of drug-induced cognitive disorder: a study on the FAERS database
Finasteride is high-risk for cognitive disorders, while Carbidopa/Levodopa, Topiramate, and Clonazepam are moderate-risk.
research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.
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 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 Hair Loss Diagnosis Using Artificial Neural Networks
Neural networks can effectively predict hair loss.
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 Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research A regulatory perspective on pharmacokinetic/pharmacodynamic modelling
The document concludes that PK/PD modeling is important for determining the safe and effective dosages of drugs.
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 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 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 516 Functional annotation of genes underlying hair disorders
The study identified key genes and pathways linked to hair disorders, aiding precision medicine.
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 A Combinatorial Tweet Clustering Methodology Utilizing Inter and Intra Cosine Similarity
The method effectively grouped tweets into categories without knowing the number of groups beforehand.
research Causal Relationship Between Blood Metabolomics and Female Pattern Hair Loss: A Bidirectional Mendelian Randomization Study
Certain blood metabolites are linked to female pattern hair loss, with some increasing risk and others offering protection.
research Effects and Safety of Botulinum Toxin Injection in Treatment of Androgenetic Alopecia: A Meta-analysis and Systematic Review
Botulinum toxin injections can safely increase hair count in androgenetic alopecia.
research An Integrated Approach for Diabetes Detection Using Fisher Score Feature Selection and Capsule Network
The method accurately detects diabetes with 94% effectiveness, reducing misdiagnosis risk.
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 RETRACTED: Genetic causality and metabolite pathway identifying the relationship of blood metabolites and psoriasis
research Clinical Efficacy of Low-Level Laser Therapy for Androgenic Alopecia: A Meta-Analysis
research Supplemental Materials: Machine Learning Applications in Androgenetic Alopecia: A Systematic Review
research Supplemental Materials: Machine Learning Applications in Androgenetic Alopecia: A Systematic Review
research Exploring the overlap between alopecia areata and major depressive disorder: Epidemiological and genetic perspectives
People with alopecia areata are more likely to have major depression, possibly linked to a specific genetic region.
research A numerical study of aircraft empennage buffet
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 Pharmacophore Modeling and Three Dimensional Database Searching for Drug Design Using Catalyst: Recent Advances
The document concludes that Catalyst software is effective for drug design, identifying potent compounds for various medical conditions.