research Bioinformatics analysis and verification of m6A related genes based on the construction of keloid diagnostic model
IGF2BP3 and other m6A-related genes are linked to keloid formation and could be potential treatment targets.
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60-90 / 1000+ resultsresearch A weighted non-negative matrix factorization approach to predict potential associations between drug and disease
WNMFDDA effectively predicts drug-disease associations.
research A machine learning and network framework to discover new indications for small molecules
A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.
research Development of a Carvedilol-Loaded Solid Self-Nanoemulsifying System with Increased Solubility and Bioavailability Using Mesoporous Silica Nanoparticles
The new system greatly improves carvedilol's solubility and effectiveness.
research Evaluation of loci to predict ear morphology using two SNaPshot assays
Genetic markers can help predict ear shapes for forensic use.
research A Model for Predicting Polycystic Ovary Syndrome Using Serum AMH, Menstrual Cycle Length, Body Mass Index and Serum Androstenedione in Chinese Reproductive Aged Population: A Retrospective Cohort Study
A model using hormone levels, cycle length, and BMI can help identify PCOS in Chinese women but isn't for screening teens.
research Predicting Human Appearance from DNA for Forensic Investigations
DNA can predict physical traits like eye and hair color accurately, especially in Europeans, but predicting other traits and in diverse populations needs more research.
research A Phase 1, Open‐Label Study of the Pharmacokinetics of Ritlecitinib in Children Aged 6–12 Years With Alopecia Areata
Ritlecitinib was generally well tolerated in children with alopecia areata.
research Hepatocyte growth factor combined with adenosine deaminase as biomarker for diagnosis of tuberculous pleural effusion
HGF combined with ADA is highly accurate for diagnosing tuberculous pleural effusion, especially in younger females.
research Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods
Machine learning can help find new ways to treat alopecia areata.
research Formulation of Deformable Liponiosomal Hybrid of Repaglinide: In vitro Characterization and Evaluation of the Anti-Diabetic Effect
Repaglinide-loaded liponiosomal hybrids improve blood sugar control and insulin release better than regular Repaglinide.
research 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 Serum-Based Assessment of Alopecia Areata Response to Treatment Using ATR-FTIR Spectroscopy
ATR-FTIR spectroscopy could help monitor alopecia areata treatment response non-invasively.
research [Determination of finasteride in human plasma by HPLC-MS].
The two finasteride formulations are bioequivalent.
research Diagnostic value of the diagonal earlobe crease in combination with lipoprotein(a) in coronary heart disease
Diagonal earlobe crease and lipoprotein(a) together help diagnose coronary heart disease.
research Food Administration and Not Genetic Variants Causes Pharmacokinetic Variability of Tadalafil and Finasteride
Food intake, not genetics, affects how the body processes tadalafil and finasteride.
research Machine Learning Approach for Predicting Systemic Lupus Erythematosus in Oman-based Cohort
The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.
research Cyproterone Acetate Quantification in Human Plasma by High-performance Liquid Chromatography Coupled to Atmospheric Pressure Photoionization Tandem Mass Spectrometry
The method accurately measures cyproterone acetate in plasma, showing no significant difference between two formulations.
research BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
BaldGraphFormer accurately predicts early baldness, aiding better hair loss treatment.
research Salivary Inflammatory Markers and Free Androgen Index in Women with Polycystic Ovary Syndrome: A Case-Control Study
Salivary cytokines and the Free Androgen Index are promising non-invasive markers for diagnosing PCOS.
research rs4541843 G > A variant near miR-182 is associated with susceptibility, severity, and increased hsa-miR-182-5p expression in alopecia areata
The rs4541843 variant is linked to higher risk and severity of alopecia areata.
research Serum phoenixin-14 and phoenixin-20 concentrations in polycystic ovary syndrome: Associations with anti-Müllerian hormone and diagnostic utility
Phoenixin levels are higher in PCOS patients and may help in diagnosis.
research An Explainable AI-Based Decision Support System for Teaching and Classifying Hair Loss Types
The AI system accurately classifies hair loss types and explains its decisions.
research Automated Trichoscopic Analysis for Hair Disorder Classification Using Semantic Segmentation
An automated system can accurately classify hair disorders using image analysis.
research Estimating the Effect of Finasteride on Kallikrein Marker Levels in Blood and the Use of Converted Markers in the Four-Kallikrein Model
Finasteride improves prostate cancer prediction by adjusting kallikrein marker levels.
research Hair metal dysregulation in Parkinson’s disease: Implications for diagnosis and gut-brain axis involvement
Hair metal analysis may help diagnose Parkinson's disease and suggests gut involvement.
research A Novel Nomogram for Predicting Gonadotropin-Releasing Hormone Analogue Treatment Outcome in Girls with Idiopathic Central Precocious Puberty
A new model helps predict treatment success in girls with early puberty.
research Analysis of metabolic characteristics of epristeride in zebrafish based on LC-Q-TOF MS and its potential applications in doping control
Epristeride's metabolism in zebrafish helps improve doping detection methods.
research Cell‐free transcriptomic profiles and mechanism insights in female androgenetic alopecia
DNAJB9 cfRNA could help diagnose and treat female hair loss.
research Integrated multiple machine learning and Mendelian randomization reveal LTF gene as a prognostic biomarker for nonspecific orbital inflammation
The LTF gene may help predict and manage nonspecific orbital inflammation.