Objectives: Our understanding of the dynamics of SARS-CoV-2 infection within a host and how it relates to an individual’s ability…
Read morePoster: Methodology - New Modelling Approaches
Introducing InSilicoTrials NONMEM simulator: Cloud-based simulation tool for NONMEM models
Objectives: We are working to develop cloud based trial simulation tools that reduce the effort required to leverage existing pharmacometrics…
Read moreEnhancing statistical power in lipid-lowering therapy studies through optimization of the MACE endpoint composition: a model-based meta-analysis approach
Introduction: Major adverse cardiac events (MACE) are used to assess the efficacy and safety of cholesterol-lowering compounds in late-stage clinical…
Read moreNLME modelling from a causal inference perspective when the dose-exposure-response relationship is confounded by the treatment regimen
Introduction: When a clinical trial is designed to investigate the effects of a treatment regimen rather than of specific dose…
Read moreA frailty model for quantifying the association between CompEx risk and variation in lung function in asthma
Introduction: Seemingly random fluctuations in lung function have previously been shown to be associated with acute exacerbations in asthma (1,…
Read moreUsing Fisher Information Matrix to predict covariate effects in forest plots and power of their relevance
Objectives: One of the aims of pharmacokinetic (PK) and pharmacodynamic (PD) analysis is to identify and quantify the covariates that…
Read moreEvaluation of automated model development workflows for population pharmacokinetic models
Introduction: Automated model development workflows to identify the optimal population pharmacokinetic (PK) model – as implemented in Pharmpy open-source software…
Read moreODE-free survival modeling with full pharmacokinetic profiles in the IMPRES-M framework
Introduction: Time to event analysis (TTE) characterizes the probability that an event, such as a disease progression, occurs, and in…
Read moreA translational toolkit to predict clinical Phase IIb/III outcomes from preclinical mouse studies
Objectives Despite known drug regimens, tuberculosis (TB) treatment remains long and complex, highlighting the urgent need to identify shorter but…
Read moreCoupling Quantitative Systems Pharmacology (QSP) and ML/AI: a story of pAIns and gAIns
Introduction/Objectives: We are currently living an era where ML/AI approaches seem to be (greatly) improving more traditional methods, replacing in…
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