Anxiety Disorders, PTSD and OCD: Systematic Review of Approved Psychiatric Medications (2008–2024) and Pipeline Phase III Medications

Anxiety Disorders, PTSD and OCD: Systematic Review of Approved Psychiatric Medications (2008–2024) and Pipeline Phase III Medications

Publication: Drugs Context
Software: GastroPlus®
Division: PBPK

This systematic review examines psychiatric medications approved by the FDA for anxiety disorders, post-traumatic stress disorder (PTSD) and obsessive-compulsive disorder (OCD) from 2008 to 2024 and describes the mechanism of action, indications for both labelled and off-label uses, evidence for efficacy, dosing and adverse effects for each medication.

Advances in Physiologically Based Pharmacokinetic (PBPK) Modeling and its Regulatory Utility to Support Oral Drug Product Development and Harmonization

Advances in Physiologically Based Pharmacokinetic (PBPK) Modeling and its Regulatory Utility to Support Oral Drug Product Development and Harmonization

Publication: Pharmaceutical Research
Software: GastroPlus®
Division: PBPK
Therapeutic Areas: PBPK

This report summarizes the proceedings of Session 1 of the one-day public workshop titled “Advances in PBPK Modeling and its Regulatory Utility for Oral Drug Product Development” hosted by the U.S. Food and Drug Administration (FDA) and the Center for Research on Complex Generics (CRCG) on October 12, 2023.

High vs. Low Vancomycin Therapeutic Concentrations in Periprosthetic Joint Infection: A Retrospective Cohort Analysis

High vs. Low Vancomycin Therapeutic Concentrations in Periprosthetic Joint Infection: A Retrospective Cohort Analysis

Publication: Front Pharmacol
Software: GastroPlus®
Division: PBPK

Current guidelines recommend vancomycin concentrations of 10–20 μg/mL for most infections, with higher levels (15–20 μg/mL) suggested for severe cases.

PBPK Modeling to Support Bioavailability and Bioequivalence Assessment in Pediatric Populations

PBPK Modeling to Support Bioavailability and Bioequivalence Assessment in Pediatric Populations

Publication: Pharm Res
Software: GastroPlus®
Division: PBPK

This report summarizes the proceedings for Session 3 of the one-day public workshop entitled “Advances in PBPK Modeling and its Regulatory Utility for Oral Drug Product Development” a jointly sponsored workshop by U.S. Food and Drug Administration (FDA) and the Center for Research on Complex Generics (CRCG) on October 12, 2023.

Unveiling the Phenolic Profiling of Moroccan Ferula communis L. Fruits: A Combination of In Silico and In Vivo Protective Effect Against Methotrexate-Induced Hepato-Renal Dysfunction

Unveiling the Phenolic Profiling of Moroccan Ferula communis L. Fruits: A Combination of In Silico and In Vivo Protective Effect Against Methotrexate-Induced Hepato-Renal Dysfunction

Publication: Journal of Food Biochemistry
Software: ADMET Predictor®
Division: Cheminformatics

Methotrexate (MTX) is associated with several side effects, including hepatic and renal toxicities, which limit its effectiveness as an anticancer medication.

Longitudinal Model-Based Meta-Analysis (MBMA) Comprehensive MonolixSuite Tutorial with Case Studies

Longitudinal Model-Based Meta-Analysis (MBMA) Comprehensive MonolixSuite Tutorial with Case Studies

Authors: Bracis C
Software: Monolix®

Model-based meta analysis (MBMA) informs key drug development decisions by integrating data, published or unpublished, from multiple 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.

RSM and AI Based Machine Learning for Quality by Design Development of Rivaroxaban Push-Pull Osmotic Tablets and its PBPK Modeling

RSM and AI Based Machine Learning for Quality by Design Development of Rivaroxaban Push-Pull Osmotic Tablets and its PBPK Modeling

Publication: Sci Rep
Software: GastroPlus®
Division: PBPK

The study is based on applying Artificial Neural Network (ANN) based machine learning and Response Surface Methodology (RSM) as simultaneous bivariate approaches in developing controlled-release rivaroxaban (RVX) osmotic tablets.