Jim Hughes Model-Based Meta-Analysis of Weight Loss in Type 2 Diabetic and Obese Populations
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Jae Eun Ahn Model-Based Meta-Analysis of Lipid Endpoints in Patients with Hypertriglyceridemia
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Arya Pourzanjani A Flexible Joint Model of PK/PD and Progression-Free Survival for Assessing Efficacy in Early Oncology Trials
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Luke Kosinski A nonparametric sample size calculator in the presence of missing values for a kidney allograft composite biomarker
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Nakyo Heo Strategies for the selection of informed PK sampling timepoints in late phase trials
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Application of Machine Learning Analysis to Inform Medical Countermeasure Development – A Case Study Using Random Forest Ensemble to Identify Predictive Biomarkers of Mortality for Hematopoietic Acute Radiation Syndrome and Confirmation of Benefit with Leukine® Across Myeloid Lineages
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Unsupervised Hierarchical Clustering Analysis for the Characterization of Sequence of Pancytopenia in Male and Female Non-human Primates Post Total Body Irradiation
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Varun Aggarwal Multivariate Joint Models to Predict Clinically Meaningful Decline in Duchenne Muscular Dystrophy as measured by NSAA Using Timed Function Test Trajectories.
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Matthew Putnins Powering And Designing Clinical Trials Using Exposure Response Modeling
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Shuhui Li Exploring the Relationship Between the In Vitro Properties and Pharmacokinetic Parameters of Advair Diskus
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Shuhui Li Evaluating Novel Pilot Pharmacokinetic Bioequivalence Study for Inhalation Powder Drug Products Exhibiting Batch-to-Batch Deviation
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Kai Wang Estimation of Time to Progression and Post Progression Survival through Joint Modeling of Overall Survival and Progression-free Survival following Anti-PD1 Treatments across Oncology Indications
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Kosalaram Goteti Application of Model-Based Meta-Analysis to Set Benchmarks for New Treatments of Systemic Lupus Erythematosus
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Federico Reali A hybrid minimal PBPK and machine learning approach to predict drug penetration in tuberculosis lesions.
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Mayu Osawa Characterization of Tumor-Growth-Dynamic (TGD) in first-line metastatic non-small cell lung cancer (1L mNSCLC) with Nivolumab and ipilimumab (NIVO+IPI) with or without chemotherapy: Analysis of Asian and Non-Asian Populations
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Douglas Marsteller Markovian Chain Exposure-Response Analysis of Istradefylline (KW-6002) Assessed Using Daily Diary
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Varun Aggarwal Quantifying the impact of a high burden chronic disease on a clinical trial using clinical trial simulation tools
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Pavithra Dedigama Arachchige Investigation of potential applications of machine learning in covariate screening.
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Bayesian Horseshoe prior for covariate selection in Exposure-Response analysis
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Pharmacometrics Enhanced Bayesian Borrowing
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Lindsay Clegg Population Pharmacokinetic Simulation-based Design of a Three Drug Bioequivalence Study for the Breztri Aerosphere Next-Generation Propellant Program
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Kalyanasundaram Subramanian Predicting the Incidence Proportion of Drug-Induced Serotonin Syndrome-Associated Tremors Using a Model-based Meta-Analysis
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Luke Fostvedt Population PK Analysis of Somatrogon Using a Bayesian Approach with Informative Priors
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Cameron McBride Quantifying Uncertainty of Systems Model Predictions to Uncertainty in Fixed Parameters
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James Rogers Analysis Planning and Interpretation Using Causal Directed Acyclic Graphs: A Case Study in Oncology
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Jian Zhou Model-Based Meta-Analysis for Major Adverse Cardiovascular Events in Autoimmune Diseases Clinical trials – to Predict the Real-World Data
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Mario Nagase An Application of Neural-ODE to Population Pharmacokinetic Modeling
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Garrett Nieddu Using sparse sampling schemes to design vaccine immunogenicity trials for determining durability of immunogenicity
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Sonja Hartmann A Longitudinal Model-Based Meta-Analysis of absolute FVC in Idiopathic Pulmonary Fibrosis
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Lower Bound at Expiry (LoBE) Limits Provide Piercing Insights into Vaccine Manufacturing
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Sarah Kim Optimizing Use of Imaging Biomarkers in Clinical Trials for Duchenne Muscular Dystrophy: a Multivariate Model of a Fat Fraction Magnetic Resonance Biomarker and a Functional Endpoint
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Matthew Wiens A Machine Learning and Statistical Meta-Analysis for Trial Simulations Predicting Transitions from Relapsing-Remitting to Secondary Progressive Multiple Sclerosis
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Rashed Harun Machine learning-based identification of risk factors of hyperglycemia following Ipatasertib treatment in a metastatic castration-resistant prostate cancer population
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Matthew Wiens A Model-Based Meta-Analysis for Treatment-Modified Disease Progression in Multiple Sclerosis
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External validation of tumor growth inhibition-overall survival model in non-small-cell lung cancer using pralsetinib RET-fusion positive solid tumor type data
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Mutaz Jaber Evaluation of Recorded Time Deviations on Parameter Estimates in Nonlinear Mixed-effect Analyses
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Logan Brooks Shap-Cov: Explainable machine learning for rapid Population Pharmacokinetic (PopPK) covariate identification
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