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Showing 1 to 7 of 7 for “"PK/PD modeling"”.

  1. Prediction of In-Vivo Antimuscarinic Activity (AMA) by In-Vitro Receptor Binding Assessment and PK/PD Modeling For Prototypical Drugs

    Purpose: To establish a tool, termed as antimuscarinic activity (AMA), to predict the incidence of antimuscarinic adverse events (AMAEs).Methods: A literature review, focused on drugs having off-target interaction with muscarinic receptors, was performed. Prototypical drugs olanzapine, …

    vcu Repository record for Prediction of In-Vivo Antimuscarinic Activity (AMA) by In-Vitro Receptor Binding Assessment and PK/PD Modeling For Prototypical Drugs (opens in a new tab)

  2. Pharmacokinetic and pharmacodynamic studies of mycophenolic acid in renal transplant recipients

    … and pharmacodynamic profiles, to establish the PK-PD relationship of MPA and to quantify average population pharmacokinetic and pharmacodynamic parameters and evaluate the influence covariates on the PK-PD variability.Stable renal transplant patients who were on mycophenolate …

    nus Repository record for Pharmacokinetic and pharmacodynamic studies of mycophenolic acid in renal transplant recipients (opens in a new tab)

  3. Model-Based Dose-Exposure-Response Assessment for Lead and Backup Spectinamide in a Mouse Model of Tuberculosis

    … was performed using non-linear mixed effect modeling to estimate pharmacokinetic parameters in healthy animals. The Bayesian principles were applied for reliable pharmacokinetic estimation in infected animals by using informed priors obtained from healthy animals. The individual …

    tenn-hsc Repository record for Model-Based Dose-Exposure-Response Assessment for Lead and Backup Spectinamide in a Mouse Model of Tuberculosis (opens in a new tab)

  4. Developing Targeted Therapies for T-cell Acute Lymphoblastic Leukemia

    … predicted by pharmacokinetic & pharmacodynamic (PK & PD) modeling; and 5) an LCK degradation approach can achieve better therapeutic efficacy than dasatinib in T-ALL. <strong>Methods</strong> We applied a network-based Bayesian Inference of Drivers (NetBID) algorithm using RNA-seq data to infer …

    tenn-hsc Repository record for Developing Targeted Therapies for T-cell Acute Lymphoblastic Leukemia (opens in a new tab)

  5. Bayesian Hierarchical Models for Data Extrapolation and Analysis in Rare and Pediatric Disease Clinical Trials

    … the pediatric population. Bayesian hierarchical modeling facilitates the combining (or ``borrowing") of information across disparate sources, such as adult and pediatric data. In this thesis we begin by developing, illustrating, and providing suggestions for Bayesian statistical methods that …

    umn Repository record for Bayesian Hierarchical Models for Data Extrapolation and Analysis in Rare and Pediatric Disease Clinical Trials (opens in a new tab)

  6. Utilization of Model-Based Approaches to Maximize Efficacy of Antibiotics for the Treatment of Mycobacterium abscessus Pulmonary Infection

    … a human physiologically based pharmacokinetic (PBPK) model for inhaled TGC was developed to predict exposure in the systemic circulation and major organs associated with toxicity. Based on clinically and preclinically established adverse event thresholds, 125 mg Q3D was identified as optimized …

    tenn-hsc Repository record for Utilization of Model-Based Approaches to Maximize Efficacy of Antibiotics for the Treatment of Mycobacterium abscessus Pulmonary Infection (opens in a new tab)

  7. Translational Pharmacokinetic-Pharmacodynamic Modeling and Simulation in the Development of Spectinamides, a Novel Class of Anti-Tuberculosis Agents

    … mouse models. Pharmacokinetic (PK)/ pharmacodynamic (PD) analyses play a critical role in identifying the optimum dosing regimen for new treatments. In this dissertation, I hypothesized that the application of translational PK/PD modeling and simulation techniques would …

    tenn-hsc Repository record for Translational Pharmacokinetic-Pharmacodynamic Modeling and Simulation in the Development of Spectinamides, a Novel Class of Anti-Tuberculosis Agents (opens in a new tab)