Objectives: Quantitative systems pharmacology (QsP) may need to change in order to accommodate machine learning (ML), but ML may need…
Read moreAbstracts
Robust Parameter Estimation of Rational Ordinary Differential Equations for NLME and QSP
Introduction/Objectives: Parameter estimation of ordinary differential equation (ODE) models is the essential step of many inference methods in nonlinear mixed…
Read moreUncertainty quantified discovery of chemical reaction systems via Bayesian scientific machine learning
Objectives: Mechanistic models in quantitative systems pharmacology (QSP) offer more interpretability than purely data-driven machine learning approaches, but practitioners often…
Read morePopulation pharmacokinetics of vadadustat, a hypoxia-inducible factor prolyl hydroxylase inhibitor for treatment of anemia associated with chronic kidney disease
Objectives: Vadadustat (VADA) is a synthetic, orally bioavailable, small molecule inhibitor of hypoxia-inducible factor prolyl hydroxylase enzymes under development for…
Read moreModel-Based Translational Rapamycin Dose Selection to Promote Engraftment and Expansion of the Engineered Regulatory T cell (EngTreg) product GNTI-122 in Human
Objectives: Functional and/or absolute interleukin-2 (IL-2) scarcity is implicated in many autoimmune diseases and significantly impairs regulatory T cells (Tregs)…
Read moreImproving the reproducibility of NONMEM-based pharmacometric analyses
Introduction/Objectives: Pharmacometric analyses are commonly used to support critical decision. Therefore, a high degree of traceability and reproducibility must be…
Read moreA Bounded Integer Approach to Evaluate AIMS Score for Austedo in Patients with Tardive Dyskinesia
Objectives: Tardive dyskinesia (TD) is a serious movement disorder that appears as a complication of the prolonged use of dopamine…
Read moreCharacterizing the interplay between biological factors and cell growth in unperturbed tumor growth dynamics
Objectives: Mathematical modeling of unperturbed and perturbed tumor growth dynamics (TGD) in preclinical experiments provides an opportunity to establish translational…
Read moreMechanistic characterization of oscillatory patterns in unperturbed tumor growth dynamics: the interplay between cancer cells and components of the tumor microenvironment.
Objectives: The adequate characterization of the tumor dynamics is crucial to understand cancer progression and response to treatment. In this…
Read moreDoes shrinkage on exposure metrics truly impair E-R analysis?
Objectives: Population PK analysis in confirmatory clinical trials have opened the possibility of providing individual estimates of drug exposure (such…
Read more