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330-360 / 1000+ resultsresearch Network-based identification genetic effect of SARS-CoV-2 infections to Idiopathic pulmonary fibrosis (IPF) patients
SARS-CoV-2 may worsen IPF due to shared genes and pathways, suggesting potential drug targets.
research KRDQN: An Interpretable Prediction Framework for Adverse Drug Reactions via Knowledge–Graph Reinforced Deep Q-Learning
KRDQN effectively predicts adverse drug reactions with high accuracy and clear explanations.
research Enhanced stratification of male pattern hair loss using AI through novel loss region ratio analysis
AI improves accuracy and consistency in diagnosing male pattern hair loss.
research Bioinformatic network analysis on the molecular interactions between Parkinson’s disease, alpha-synuclein, and infertility condition
Nicotine may help treat both Parkinson's disease and infertility.
research Weakly supervised learning of biomedical information extraction from curated data
The method can effectively extract biomedical information without needing expert annotation, performing better than previous models.
research Comorbid Conditions Associated with Alopecia Areata: 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 more detail on sample size, methodology, bias, and ethical considerations.
research Human gene correlation analysis (HGCA): A tool for the identification of transcriptionally co-expressed genes
The HGCA tool helps identify genes that work together by analyzing their co-expression patterns.
research Genetically determined metabolites in allergic conjunctivitis: A Mendelian randomization study
Eight blood metabolites are linked to causing allergic conjunctivitis, offering new ways to predict and treat it.
research Unraveling the complex role of MAPT-containing H1 and H2 haplotypes in neurodegenerative diseases
H1 increases risk for neurodegenerative diseases, while H2 offers protection but is linked to other disorders.
research A systematic simulation-based meta-analytical framework for prediction of physiological biomarkers in alopecia
The study identified 12 potential biomarkers for hair loss and how they affect hair growth.
research A Fuzzy Logic-Based Computational Framework for Precision Triage in Androgenetic Alopecia: A Simulated Biomarker-Driven Approach
The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
research DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network
The DNN-DTIs method accurately predicts drug-target interactions and is useful for drug repositioning.
research Faculty Opinions recommendation of There Is a Positive Dose-Dependent Association between Low-Dose Oral Minoxidil and Its Efficacy for Androgenetic Alopecia: Findings from a Systematic Review with Meta-Regression Analyses.
research Medical Reasoning with Large Language Models: A Survey and MR-Bench
Large language models struggle with accurate clinical decision-making compared to real-world needs.
research Integrating Biomarkers from Correlation Analysis and Metric Learning for Hair Loss Classification
Combining biomarker analysis and advanced algorithms improves hair loss detection accuracy.
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 Conservation of marine habitats under multiple human uses : Methods, objectives and constraints to optimize a Marine Protected Areas network in the Eastern English Channel
Marxan is better for designing Marine Protected Areas in the Eastern English Channel.
research Hair Loss Diagnosis Using Artificial Neural Networks
Neural networks can effectively predict hair loss.
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 Integrated edge information and pathway topology for drug-disease associations
iEdgePathDDA effectively finds new drug-disease links, outperforming other methods.
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 Current awareness on comparative and functional genomics
research Interventions for central serous chorioretinopathy: a network meta-analysis
The study aims to find the best treatment for central serous chorioretinopathy by comparing various options.
research BEYOND HAIR LOSS: EXPLORING THE EVOLUTION OF ANDROGENETIC ALOPECIA RESEARCH BASED ON TEXT MINING AND BIBLIOMETRICS
Data visualization tools are crucial for understanding and advancing androgenetic alopecia research.
research Association between male pattern baldness and prostate disease: A meta-analysis
Men with male pattern baldness have a higher risk of aggressive prostate cancer and benign prostatic hyperplasia.
research Analyse trichoskopischer Bilder mit tiefen neuronalen Netzen zur Diagnose und Aktivitätsbewertung von Alopecia areata – eine retrospektive Studie
Deep-learning models can effectively diagnose and assess Alopecia areata using scalp images.
research PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis
The new AI system accurately diagnoses hair disorders and offers personalized treatment recommendations.
research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.