Introduction: Cytokines are inflammatory mediators that play a pivotal role in the initiation and orchestration of the immune response [1]. IL-6,…
Read morePoster: Methodology - New Modelling Approaches
Integrating PKPD and Agent-Based Modeling to Explore Tuberculosis Relapse after Treatment.
Introductions: The immune system’s significance in Tuberculosis (TB) drug development is often underestimated due to experimental complexities. In this study,…
Read moreA Neural Networks-assisted NLME Framework: Case Study on Modeling Platelet Counts
Objectives: Thrombocytopenia, a frequent adverse event type in cancer therapy, requires clinical platelet management to avoid high-grade thrombocytopenia and to…
Read moreSupporting pharmacometrics applications by robust parameter estimation and identifiability analysis using hybrid Neural ODEs
Introduction: Neural Ordinary Differential Equations (NODEs) [1,2] constitute a promising data-driven method for modeling dynamical systems in computational biology. Recent works…
Read moreUsing machine learning to predict longitudinal platelet counts: a methodology framework
Introduction: Conventional exposure-response (ER) models have been employed to model the dynamics of platelet changes during patient treatment, providing insights…
Read moreAddressing Confounding Bias in Exposure-Response Analysis: Evaluating Instrumental Variable Modeling Strategies
Objectives: Randomization of subjects to multiple dose levels in clinical trials enables an unbiased estimation of the dose-response relationship. However,…
Read moreA multi-scale modelling framework to assess the relationship between SARS-CoV-2 viral load and transmission in household studies.
Objectives: Our understanding of the dynamics of SARS-CoV-2 infection within a host and how it relates to an individual’s ability…
Read moreIntroducing 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…
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