Objectives: Mutation in the gene that encodes Kirsten rat sarcoma viral oncogene homolog (KRAS) is the most common oncogenic driver in advanced…
Read morePoster: Methodology - New Modelling Approaches
Using “Big” NONMEM Dataset Generated from Standard SDTM to Review Data and Accelerate Model Building Process
Objectives: The use of standard SDTM structured data has given us the opportunity to generate one “BIG” NONMEM dataset by merging…
Read moreConstruction and evaluation of “global” Micahelis-Menten reduced models
Objectives: Multi-compartmental models in non-linear pharmacokinetics are largely based on the enzyme kinetics of Michaelis-Menten mechanism, which is characterized by…
Read moreA Bayesian PK/PD model for synergy; a case study
Introduction: The co-administration of two or more treatments can alter underlying body exposure (pharmacokinetic, or PK, interaction) and/or effects (pharmacodynamics, or…
Read moreUser-friendly parameter identifiability methods with a workflow to guide model development, using categorical and continuous scales
Objectives: Parameter identifiability methods assess whether the parameters of a model are uniquely determined by the observations. While the success…
Read moreVariance based Global Sensitivity Analysis of a Physiological Absorption model for compounds in different BCS classes
Objectives: There is a strong regulatory interest in the use of sensitivity analysis to evaluate physiologically-based pharmacokinetic models for use…
Read moreFrequency-domain response analysis for quantitative systems pharmacology models
Objectives: It was recently demonstrated that key biological control systems (such as the MAPK pathway) are highly sensitive to the frequency…
Read moreBayesian knowledge integration for an in vitro–in vivo correlation (IVIVC) model
Objectives: In vitro–in vivo correlation (IVIVC) methods play a key role in the drug development and optimization of formulations. An…
Read moreEstimating parameters of chaotic systems: chaos synchronization combined with Nelder-Mead search
Objectives: Deterministic chaos is a prominent feature of many biological systems. We compare an adaptive chaos synchronization (ACS) [1] method with…
Read moreElucidating metabolic variations in gut microbiota during health and malnutrition based on genome scale metabolic modeling approach
Objectives: Recent metagenomics studies have shown strong associations between the alteration of gut microbiota and children malnutrition [1,2]. However, precise mechanisms…
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