Beyond the Linear Model: Fully Automated Concentration-QT Analysis and Reporting

Beyond the Linear Model: Fully Automated Concentration-QT Analysis and Reporting

Conference: PAGE
Software: Monolix®

Objective 1: Extend the linear model to nonlinear and delayed-effect models
Objectiv 2: Automation of data preparation, model selection, and reporting

Improvements in Data Quality Can Boost Efficiency and Reduce Development Costs: Findings from a Survey of Pharmacometric CROs

Improvements in Data Quality Can Boost Efficiency and Reduce Development Costs: Findings from a Survey of Pharmacometric CROs

Conference: PAGE

Modern drug development, which can take up to 15 years and cost as much as $11 billion USD, relies heavily on high-quality data1. Recognizing the criticality of attaining quality data that is easily convertible to analysis-ready datasets, a survey was developed to obtain baseline information on data quality and data standards, largely from a CRO perspective.

Predicting Brinzolamide Ocular Response in Humans Using an Ocular PBPK-PD Modeling and Simulation

Predicting Brinzolamide Ocular Response in Humans Using an Ocular PBPK-PD Modeling and Simulation

Conference: ASCPT
Software: GastroPlus®
Division: PBPK
Therapeutic Areas: Ophthalmology

The development of generic ophthalmic drug products indicated for intraocular pressure (IOP) reduction typically relies on comparative pharmacodynamic (PD) endpoint bioequivalence (BE) studies.

Clustering of Environmental Compounds Based on Structure and Toxicokinetic Properties

Clustering of Environmental Compounds Based on Structure and Toxicokinetic Properties

Conference: SOT
Software: ADMET Predictor®
Division: Cheminformatics

Traditional toxicokinetic (TK) models rely heavily on in vivo data, necessitating animal testing. At the same time, the scientific toolbox is expanding with new approach methodologies (NAMs) that do not rely on TK studies.

Accurate Prediction of Liver Fat Reductions Across Range of Weight Loss by Quantitative Systems Pharmacology Modeling

Accurate Prediction of Liver Fat Reductions Across Range of Weight Loss by Quantitative Systems Pharmacology Modeling

Conference: AASLD
Software: NAFLDsym®

Weight loss has positive effects on reducing hepatic lipid burden in MASH patients. Reports using various...

Quantitative Systems Toxicology Modeling of Otenaproxesul Liver Enzyme Elevations Leads to Prediction of Liver Safety for Acute Otenaproxesul Dosing

Quantitative Systems Toxicology Modeling of Otenaproxesul Liver Enzyme Elevations Leads to Prediction of Liver Safety for Acute Otenaproxesul Dosing

Conference: ACoP
Software: DILIsym®

Otenaproxesul (ATB-346), a drug that combines naproxen with a thiobenzamide antioxidant, is being developed as an NSAID that reduces gut toxicity effects. Liver...

Weight Loss and Nausea from Subcutaneous and Oral Semaglutide Accurately Simulated with a QSP Model

Weight Loss and Nausea from Subcutaneous and Oral Semaglutide Accurately Simulated with a QSP Model

Conference: ACoP
Software: OBESITYsym

The recent availability of effective GLP-1R agonist (GLP-1RA) based treatments of obesity has provided great benefit to patients. Understanding the balance between body weight (BW) loss...

Weight Loss and Nausea from Subcutaneous and Oral Semaglutide Accurately Simulated with a QSP Model

Weight Loss and Nausea from Subcutaneous and Oral Semaglutide Accurately Simulated with a QSP Model

Conference: ACoP

The availability of effective GLP-1 receptor agonists (GLP-1RAs) for obesity treatment has greatly benefited patients. Balancing body weight (BW) loss with nausea is crucial to predict the effectiveness of these medications, along with understanding the impact of delivery methods. Quantitative Systems Pharmacology (QSP) modeling helps predict efficacy and adverse events, assessing key differences and similarities between treatment protocols.