research Application of big data analytics in minoxidil drug development: a data-driven model for predicting efficacy and side effect risks
The model predicts minoxidil's effectiveness and side effects better than traditional methods.
Search
for
Sort by
Research
720-750 / 1000+ resultsresearch Abstract ED05-04: Presurgical models to effectively screen preventive agents
Presurgical models can effectively and affordably screen cancer prevention agents.
research A Monte Carlo Simulation Framework to Quantify Platelet Dose Variability in Platelet-Rich Plasma Therapies
Platelet dose in therapies varies greatly due to factors like injected volume and concentration.
research Modeling Chemotherapy-Induced Hair Loss: From Experimental Propositions toward Clinical Reality
A new model using mice with human hair follicles helps better understand hair loss from chemotherapy.
research Regenerative medicine meets mathematical modelling: developing symbiotic relationships
Mathematical modeling can improve regenerative medicine by predicting biological processes and optimizing therapy development.
research QSAR Analysis of a Series of Hydantoin‐based Androgen Receptor Modulators and Corresponding Binding Affinities
Researchers developed reliable models to predict how well certain compounds bind to androgen receptors, emphasizing the importance of atomic electronegativity.
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 Homology Modeling of 5-alpha-Reductase 2 Using Available Experimental Data
Accurate protein modeling can help develop new treatments for prostate cancer and other diseases.
research Using risk analysis to guide changes to compounding formulae
Risk analysis is important for safely adjusting pharmaceutical formulas while maintaining their quality and effectiveness.
research Pharmacogenetics of the Androgen Metabolic Pathway
research Modeling cell–cell communication for immune systems across space and time
The document concludes that computational models are useful for understanding immune responses and could improve cancer immunotherapy.
research Photo-responsive fibers as artificial hairs in an in-vitro model for transdermal drug delivery
Artificial hair fibers improve drug delivery accuracy through skin models.
research Increasing the solubility of minoxidil using a mixture of 1-propanol and water by the shake flask method: experimental measurements, thermodynamic analyses, and mathematical modeling
research In-vitro permeation of drugs into porcine hair follicles: is it quantitatively equivalent to permeation into human hair follicles?
Porcine hair follicles can effectively model human hair follicles for drug absorption.
research Hair keratin molecular dynamics models
Molecular dynamics simulations help understand keratin's properties and predict hair's response to treatments.
research Social Pharmacology: Integrating Pharmaceutical and Social Science Research on Drug Effects
The conclusion is that combining social and cultural factors with pharmaceutical research could improve our understanding of how drugs work.
research Modeling share dynamics by extracting competition structure
The model can predict website market shares by identifying competition among them.
research Generation of comparative pharmacophoric model for steroidal 5α-reductase I and II inhibitors: A 3D-QSAR study on 6-azasteroids
The study created a model to help design new inhibitors for steroidal 5α-reductase enzymes.
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 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.
research Modeling the dynamics of human hair cycles by a follicular automaton
The model successfully simulates human hair growth and patterns, including hair loss types.
research Development of an improved method to estimate the days of continuous drug ingestion, based on the micro‐segmental hair analysis
Researchers improved a method to more accurately estimate when and how long a drug was taken using hair analysis.
research In Search of Predictive Models for Inhibitors of 5-alpha Reductase 2 Based on the Integration of Bioactivity and Molecular Descriptors Data.
The models can help find better inhibitors for conditions like baldness and prostate disorders.
research Network-Based Drug Repositioning: Approaches, Resources, and Research Directions
The document concludes that computational methods using networks and various data can improve the process of finding new uses for existing drugs.
research Community Detection and Patient Experience Analysis in Reddit Conversations on Janus Kinase Inhibitors using Large Language Models
A few users dominate Reddit discussions on JAK inhibitors, highlighting social media's potential for tracking drug safety but needing expert oversight.
research Teriflunomida and hair disorders
Teriflunomide often causes mild to moderate hair thinning and loss in MS patients, which usually improves with or without treatment.
research Targeting nonmelanoma skin cancer using selective photothermolysis with 595 nm pulsed dye laser: Outcomes of 1080 cases
595 nm pulsed dye laser is a cost-effective treatment for nonmelanoma skin cancer with a low recurrence rate.
research Preformulation studies of finasteride to design matrix systems for topical delivery
research Modelling of the composition of emulsion medicines and cosmetics stabilized by a biocomplex of surfactant substances based on rhamnolipids Pseudomonas sp. PS-17
A semi-automated system can effectively help choose emulsion ingredients, simplifying the creation of medicinal and cosmetic products.
research Computational Drug Repositioning in Cardiorenal Disease: Opportunities, Challenges, and Approaches
Drug repositioning is a promising way to quickly develop new treatments, especially for rare diseases.