Introduction: Predicting the probability of metastatic relapse for patients diagnosed with early-stage breast cancer is critical for decision of adjuvant…
Read moreOral: Methodology - New Modelling Approaches
Dose selection by covariate assessment on the optimal dose for efficacy – application of machine learning in the context of PKPD
Objectives: Dose finding (covariate/group based regimens) requires knowledge of the relationship between the dose and the treatment goal as well as…
Read moreUtilizing the items from the MDS-UPDRS score to increase drug effect detection power in de novo idiopathic Parkinson’s disease patients
Objectives: In Parkinson’s disease (PD) clinical trials, total score of clinical rating scales, such as MDS-UPDRS [1], is traditionally used…
Read moreModelling approaches in dose finding clinical trial: Simulation-based study comparing predictive performances of model averaging and model selection.
Objectives: In dose finding clinical trials, modeling based approaches require selection of the model (MS) that best describes the data. However,…
Read moreModel based optimization of dose-finding studies for drug-combinations.
Objectives: Combinations of pharmacological treatments are increasingly being investigated for potentially higher clinical benefit, especially when the combined drugs are…
Read moreMultiscale modelling for hepatitis C treatment
Objectives: In parallel to the beginning of a new era of HCV treatment with direct-acting antivirals (DAAs), new models where…
Read moreAdaptive dose finding for time-to-event outcomes with adaptive choice of patient number based on response rate
Objectives: Many clinical trials use time-to-event (TTE) outcomes as primary measures of efficacy or safety. D-optimal and adaptive D-optimal designs for…
Read moreModeling of a composite score in Parkinson’s Disease using Item Response Theory
Objectives: Traditionally, the disease status in Parkinson’s Disease (PD) is quantified using Unified Parkinson’s Disease Rating Scale (UPDRS) and more…
Read moreA Six-Stage Workflow for Robust Application of Systems Pharmacology
Objectives: The area of Quantitative Systems Pharmacology (QSP) is seeing increasing adoption and efforts in pharmaceutical research and industry settings. QSP…
Read moreDevelopment of Virtual Population for a Quantitative Systems Pharmacology model
Objectives: Quantitative systems pharmacology (QSP) is an emerging discipline that focuses on analysis of the dynamic interactions between drug(s) and…
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