Sökning: "pharmacometrics"

Visar resultat 1 - 5 av 40 avhandlingar innehållade ordet pharmacometrics.

  1. 1. Pharmacometrics to characterize innate immune response and antibacterial treatments

    Författare :Anders Thorsted; Lena E. Friberg; Elisabet I. Nielsen; Mats O. Karlsson; Gauri G. Rao; Uppsala universitet; []
    Nyckelord :MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; pharmacometrics; non-linear mixed effects modelling; modelling; pharmacokinetics; pharmacodynamics; pkpd; antibiotics; cefuroxime; piperacillin; phagocytes; lipopolysaccharide; endotoxin; porcine endotoxemia; challenge studies; sepsis; critically ill; Farmaceutisk vetenskap; Pharmaceutical Science;

    Sammanfattning : The immune system protects the host against pathogens by distinguishing self from non-self. However, it is most-often disregarded in pharmacokinetic-pharmacodynamic (PKPD) characterization of (new and old) antibiotics. LÄS MER

  2. 2. Development, Application and Evaluation of Statistical Tools in Pharmacometric Data Analysis

    Författare :Lars Lindbom; Niclas Jonsson; Mats Karlsson; Pascal Girard; Uppsala universitet; []
    Nyckelord :Pharmaceutical biosciences; pharmacometrics; pharmacokinetics; pharmacodynamics; methodology; statistics; model evaluation; resampling methods; Farmaceutisk biovetenskap;

    Sammanfattning : Pharmacometrics uses models based on pharmacology, physiology and disease for quantitative analysis of interactions between drugs and patients. The availability of software implementing modern statistical methods is important for efficient model building and evaluation throughout pharmacometric data analyses. LÄS MER

  3. 3. Benefits of Pharmacometric Model-Based Design and Analysis of Clinical Trials

    Författare :Kristin E Karlsson; E Niclas Jonsson; Mats O Karlsson; Anders Grahnén; Michael K Smith; Uppsala universitet; []
    Nyckelord :MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; model-based analysis; pharmacometrics; modeling; disease progression; NONMEM; SAEM; Importance sampling; repeated time-to-event; RTTCE; RCEpT; NIH stroke scale; Barthel index; internal validation; external validation; study power; study design; PHARMACY; FARMACI; Pharmacokinetics and Drug Therapy; Farmakokinetik och läkemedelsterapi;

    Sammanfattning : Quantitative pharmacokinetic-pharmacodynamic and disease progression models are the core of the science of pharmacometrics which has been identified as one of the strategies that can make drug development more effective. To adequately develop and utilize these models one needs to carefully consider the nature of the data, choice of appropriate estimation methods, model evaluation strategies, and, most importantly, the intended use of the model. LÄS MER

  4. 4. Model-Based Optimization of Clinical Trial Designs

    Författare :Camille Vong; Mats O. Karlsson; Andrew C. Hooker; Lena E. Friberg; Marylore Chenel; Oliver Sander; Uppsala universitet; []
    Nyckelord :MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; nonlinear mixed-effects models; pharmacometrics; likelihood ratio test; NONMEM; power; sample size; study design; proof-of-concept; dose-finding; population optimal design; LOQ; BQL data; neutropenia; docetaxel; myelosuppression; thrombocytopenia; MTD; Bayesian methods; 3 3 algorithm; dose escalation study; Pharmaceutical Science; Farmaceutisk vetenskap;

    Sammanfattning : General attrition rates in drug development pipeline have been recognized as a necessity to shift gears towards new methodologies that allow earlier and correct decisions, and the optimal use of all information accrued throughout the process. The quantitative science of pharmacometrics using pharmacokinetic-pharmacodynamic models was identified as one of the strategies core to this renaissance. LÄS MER

  5. 5. Pharmacometric Evaluation of Biomarkers to Improve Treatment in Oncology

    Författare :Ida Netterberg; Lena Friberg; Mats Karlsson; Elisabet I. Nielsen; Henrik Lindman; Amit Roy; Uppsala universitet; []
    Nyckelord :MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pharmacometrics; Biomarkers; Oncology; Population PKPD Modeling; NONMEM; Farmaceutisk vetenskap; Pharmaceutical Science;

    Sammanfattning : Cancer is a family of many different diseases with substantial heterogeneity also within the same cancer type. In the era of personalized medicine, it is desirable to identify an early response to treatment (i.e., a biomarker) that can predict the long-term outcome with respect to both safety and efficacy. LÄS MER