Objectives: Availability of rich clinical data forms the basis of reliable PK/PD modeling. Incorporation of literature data is an important…
Read morePoster: Other topics - Methodology
Comparison of Statistical and Physiological Modeling Methods Using Examples in Drug Discovery and Development
Objectives: Both statistical (e.g., NLME) and physiological (systems biology ODE models based on physical laws and physiological knowledge) modeling methods…
Read moreDevelopment of a PK library of parent drug/metabolite integrated models
Objectives: Variations of drug metabolism in patients can prevent therapeutic efficacy or lead to toxicity. The CIME cocktail [1] has…
Read moreUsing a Systems Biology Approach to Explore Clinical Diversity and Investigate Mechanism of Drug Action: Example of the RAAS System in Hypertension
Objectives: The complexity of the biological and pathophysiological mechanisms of disease, and the impact of therapies on disease progression, motivates…
Read morePopulation state-space modelling of patient responses in antidepressant studies
Objectives: A major challenge posed by the analysis of the clinical scores used to assess the disease status in depression…
Read morePharmacokinetics and stochastic differential equations : model and methodology.
Objectives: A recent evolution of the traditional PK models based on ordinary differential equations (ODEs) consists in adding a system…
Read moreMaturation of GFR in preterm and term neonates reflected by clearance of different antibiotics
Objectives: Throughout infancy, renal function matures resulting in differences in glomerular filtration rate (GFR) at different stages of development. These…
Read moreA non parametric population approach for selecting biomarkers of a drug action
Objectives: Intravenous treatment with a candidate drug administered at its optimal pharmacological dose was evaluated in healthy mice and in…
Read moreEvaluation of Stepwise Covariate Model Building Combined with Cross-Validation
Introduction: Covariate models are often built using a stepwise covariate model building (SCM), a procedure which is not intrinsically designed…
Read moreInfluence of Correlated Covariates on Predictive Performance for Different Models
Objectives: To compare the predictive performance of different model building methods in the presence of covariate correlation. Methods: A one…
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