Results 41 to 50 of about 12,660 (249)
Development of a physiologically based kinetic model for 99m-Technetium-labelled carbon nanoparticles inhaled by humans [PDF]
, 2009 International audienceParticulate air pollution is associated with respiratory and cardiovascular morbidity and mortality. Recent studies investigated whether and to which extent inhaled ultrafine particles are able to translocate into the bloodstream in
Bois, Frédéric Y. +4 more
core +3 more sources
PharmaceuticsThe aim of this study was to predict the cytochrome P450 3A (CYP3A)-mediated drug–drug interactions (DDIs) between saxagliptin and nicardipine using a physiologically based pharmacokinetic (PBPK) model.
Jeong-Min Lee +3 more
doaj +1 more source
CPT: Pharmacometrics & Systems Pharmacology, 2023 This report summarizes the proceedings for day 2 sessions 1 and 3 of the 2‐day public workshop entitled “Regulatory Utility of Mechanistic Modeling to Support Alternative Bioequivalence Approaches,” a jointly sponsored workshop by the US Food and Drug ...
Fang Wu +17 more
doaj +1 more source
Simulated rat intestinal fluid improves oral exposure prediction for poorly soluble compounds over a wide dose range [PDF]
, 2016 Solubility can be the absorption limiting factor for drug candidates and is therefore a very important input parameter for oral exposure prediction of compounds with limited solubility.
Bernard Faller +3 more
core +3 more sources
CPT: Pharmacometrics & Systems PharmacologyGastrointestinal first‐pass metabolism plays an important role in bioavailability and in drug–drug interactions. Physiologically‐based pharmacokinetic (PBPK) modeling is a powerful tool to integrate these processes mechanistically.
Justine Henriot +4 more
doaj +1 more source
Applications of physiologically based pharmacokinetic modeling for the optimization of anti-infective therapies [PDF]
, 2015 Introduction: The pharmacokinetic properties of anti-infective drugs are a determinant part of treatment success. Pathogen replication is inhibited if adequate drug levels are achieved in target sites, whereas excessive drug concentrations linked to ...
Marzolini, C +3 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Clinical and Translational Science, 2021 Sjögren’s syndrome (SS) is an autoimmune disease with no effective treatment options. Resolvin D1 (RvD1) belongs to a class of lipid‐based specialized pro‐resolving mediators that showed efficacy in preclinical models of SS.
Venkata K. Yellepeddi +5 more
doaj +1 more source
Ecotoxicology and Environmental Safety, 2021 The antimicrobial residues of aquacultural production is a growing public concern, leading to reexamine the method for establishing robust withdrawal time and ensuring food safety. Our study aims to develop the optimizing population physiologically-based
Hsing-Chieh Lin, Wei-Yu Chen
doaj +1 more source
Dispelling urban myths about default uncertainty factors in chemical risk assessment - Sufficient protection against mixture effects? [PDF]
, 2013 © 2013 Martin et al.; licensee BioMed Central LtdThis article has been made available through the Brunel Open Access Publishing Fund.Assessing the detrimental health effects of chemicals requires the extrapolation of experimental data in animals to human
A Kortenkamp +113 more
core +1 more source