Objectives: Acute radiation syndrome (ARS) is a life-threatening illness caused by whole body or significant partial-body exposure to radiation doses…
Read morePoster: Methodology - New Modelling Approaches
Study and application of nonparametric and parametric population modeling for automatic subpopulation classification to CYP2D6 phenotype compounds and pediatric age groups
Objectives: Subpopulation classification is an important way to improve the decision making in drug development [1]. Existing population pharmacokinetic methods…
Read moreA mathematical method assessing the informativeness of total test score on the basis of an item response theory model: A case study on pain in children
Objectives: A composite score of observational scales with multiple items is often used to quantify disease severity. Graded response models…
Read moreModel-based meta-analysis of efficacy and safety of anti-PD1 compounds in melanoma
Objectives: Several immuno-oncology (IO) agents are currently approved for the treatment of melanoma. Phase 3 clinical trials to date have…
Read moreFOCE generalized log-likelihood using nlmixr2
Objectives: Create a generalized log-likelihood that allows specification of common probability distributions or user-defined likelihood distributions in nlmixr2’s first-order conditional…
Read moreMixed-effect deconvolution: a new method applied to oral paracetamol absorption
Objectives: The estimation of a model input by deconvolution is a complex problem which has been addressed in multiple ways [1]….
Read moreRevisiting target-mediated elimination of therapeutic antibodies: the irreversible binding approximation
Objectives: The pharmacokinetics (PK) of therapeutic monoclonal antibodies (mAbs) often present a nonlinear elimination shape due to a target-mediated drug…
Read moreA nonparametric, multiple-model approach to optimize initial dosing and attainment of a target exposure interval: application to busulfan in pediatrics
Objectives: The traditional approach for model-based initial dosing is based on the use of a single vector of typical population…
Read moreSolving Semi-Delay Differential Equations in NONMEM
Objectives: Delay differential equations (DDEs) are a growing tool to describe delays and lifespans in pharmacokinetic and pharmacodynamic (PKPD) modeling [1]….
Read moreMachine and deep learning approaches for disease progression modeling: illustration with geographic atrophy
Objectives: Machine learning (ML) and deep learning (DL) approaches are evolving in the field of disease progression modeling. There are…
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