Casey Davis Estimating discrete parameters for population pharmacokinetic-pharmacodynamic modeling in a Bayesian setting: Implementation in Stan with a Comparison to a Continuous Approximation in NONMEM for a population transit compartment pharmacokinetic model of drug absorption
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Improved GSimp - a Flexible Missing Value Imputation Method to Support Generic Drug Development and Regulatory Assessment
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Stefano Longobardi Accelerating multi-scale Quantitative Systems Pharmacology models using a Bayesian surrogate modeling approach for quantitative translation from sub-cellular to whole-organ function: an example of evaluating Omecamtiv Mecarbil drug action in healthy rat hearts
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Luke Kosinski Longitudinal eGFR modeling for a proposed surrogate endpoint in long-term kidney graft status to inform clinical trial design
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Tao Niu Longitudinal Model-Based Meta-Analysis (MBMA) of Platelet Response to IVIg in Patients with Immune Thrombocytopenia (ITP)
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Blinded data re-sampling to estimate the power of the study
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Optimizing the sample size of a bridging study using Simulx, an application of the MonolixSuite
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Jian Zhou Development and Application of Model-Based Meta-Analysis (MBMA) of ACR20 in Psoriatic Arthritis Patients to Support Drug Development
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Accelerating the adoption of Machine Learning in Clinical Pharmacology with an AutoML R-Shiny Tool
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Matthew Weins Quantitative Understanding of the Longitudinal Relationship between Short-term MRI disease activity and Long-term Clinical Outcomes Measures in Multiple Sclerosis
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Varun Aggarwal Development Of Disease Progression Models In Huntington’s Disease As A Basis For A Clinical Trial Simulation Tool
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Simultaneous Analysis of Numerous Drug Interactions in Intestine and Liver Completely Integrating In Vivo and In Vitro Information by Markov Chain Monte Carlo Method
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Seth Robey A Resampling-Based Weighting Method for Clinical Trial Simulation with a Poorly Identified Response Model: Vaccine Application
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Rhoda Muse Modeling informative drop out in a disease progression model of Duchenne Muscular Dystrophy
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James Lu Deep Learning for PK/PD and Disease Progression Time-Course Predictions using Neural-ODE
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Maedeh Beheshti An Investigation on the Effects of Noise Reinforcement and Limited Dimensionality on the Accuracy of Hippocampal Volume MRI Segmentation Using U-Net Model
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Niklas Korsbo Automatic identification of non-obvious prognostic factors in big data with DeepNLME?? in Pumas
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Vijay Ivaturi Nonlinear mixed effects model based optimal design of experiments using mathematical programming in Pumas
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Vijay Ivaturi Parallel hierarchical Gibbs-NUTS MCMC algorithm for Nonlinear Mixed Effects models in Pumas
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Vijay Ivaturi Automated Machine Learning Acceleration of Pharmacometrics Models in Pumas with JuliaSim
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Patrick Lang An Alzheimer’s Disease Modeling Case Study Comparing Disease Progression Between Deep Neural Networks and Mixed-Effects Modeling
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