research Drug Repositioning with GraphSAGE and Clustering Constraints Based on Drug and Disease Networks
The method effectively predicts new drug uses, including potential COVID-19 treatments.
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60-90 / 716 resultsresearch [Determination of finasteride in human plasma by HPLC-MS].
The two finasteride formulations are bioequivalent.
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 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 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 Uncovering the genetic architecture and evolutionary roots of androgenetic alopecia in African men
The research found that genetic factors for male pattern baldness in African men differ significantly from those in Europeans.
research Proof-of-Principle Study of Inflammasome Signaling Proteins as Diagnostic Biomarkers of the Inflammatory Response in Parkinson’s Disease
Inflammasome proteins may help diagnose and treat Parkinson's disease.
research A DEEP LEARNING APPROACH FOR DIAGNOSIS OF COVID-19 INFECTION AND ITS RELATED FACTORS: A POPULATION-BASED STUDY
The random forest model effectively helps diagnose COVID-19 using key factors like age and symptoms.
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 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 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.
research How Biodegradable Polymers Can be Effective Drug Delivery Systems for Cannabinoids? Prospectives and Challenges
Biodegradable polymers can improve cannabinoid delivery but need more clinical trials.
research Identification of SLC40A1, LCN2, CREB5, and SLC7A11 as ferroptosis-related biomarkers in alopecia areata through machine learning
Four genes are potential markers for hair loss condition alopecia areata, linked to a specific type of cell death.
research Bioequivalent Assessment of Finasteride Granules in Chinese Healthy Volunteers
Finasteride granules and tablets work the same in the body.
research Determination of finasteride in human plasma and its pharmacokinetics and relative bioavailability by HPLC-electrospray mass spectrometry
Two finasteride tablet formulations are bioequivalent.
research Biochemical predictor for polycystic ovary syndrome
The uric acid to creatinine ratio is a strong indicator for diagnosing PCOS.
research 42063 Image Quality Assessment using Convolutional Neural Network in Clinical Skin Images
The model can effectively identify good quality skin images but needs more testing for real-world 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 Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
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 Identification of Potential Biomarkers for Diagnosis of Patients with Methamphetamine Use Disorder
Gene expression in hair follicles can help diagnose methamphetamine use disorder.
research A weighted non-negative matrix factorization approach to predict potential associations between drug and disease
WNMFDDA effectively predicts drug-disease associations.
research Serum Metabolomics Study of Polycystic Ovary Syndrome Based on Liquid Chromatography–Mass Spectrometry
Women with PCOS have different levels of certain fats and proteins in their blood, which could help diagnose the condition.
research Saturable Binding of Finasteride to Steroid 5α-reductase as Determinant of Nonlinear Pharmacokinetics
Finasteride's effect on hair loss and prostate enlargement depends on its binding to an enzyme, with maximum impact at 0.2 mg dose.
research Research on the correlation between rash and complement C3, C4 levels and the occurrence and development of lupus nephritis
Absence of skin rash and low complement C3 levels increase the risk of lupus nephritis.
research Big Self-Supervised Models Advance Medical Image Classification
Self-supervised learning improves medical image classification accuracy.
research DrugNet: Network-based drug–disease prioritization by integrating heterogeneous data
DrugNet effectively identifies new uses for existing drugs and may save resources in drug development.
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 GPX4 mRNA levels in the PMNs are negatively correlated with autoantibody production, disease activity and lupus alopecia in SLE
Lower GPX4 mRNA levels are linked to higher disease activity and symptoms in lupus patients.
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.