ACoP13 Posters

SxP Education Committee reviewed the ACoP program and abstracts to select content of interest for SxP

Link to the ACoP13 poster schedule

Monday Oct 31

• M-005 - Other519 :
  • Anitha Saravanakumar: Meta-analysis of clinical doses of oncology chimeric antigen receptor cell therapy and empirical preclinical to clinical dose translation
• M-010 TPM514 :
  • Logan Brooks: Shap-Cov: Explainable machine learning for rapid Population Pharmacokinetic (PopPK) covariate identification
• M-017 - STPM506 :
  • Mutaz M. Jaber: Evaluation of Recorded Time Deviations on Parameter Estimates in Nonlinear Mixed-effect Analyses
• M-023 - MCS498 :
  • Varun Aggarwal: Survey of algorithms for building human activity recognition and verification framework
• M-032 - Other487 :
  • Varun Aggarwal: Algorithmic literacy: a proposed framework for the assessment of algorithms as fit-for-purpose tools in clinical trials
• M-049 - PMX470 :
  • Jasmine Hannah Hughes: One model to rule them all? Optimal model for model-informed precision dosing of vancomycin varies across healthcare providers
• M-050 - PMX469 :
  • Wenlian Qiao: A computational model leveraging natural history study data to quantify drug efficacy in achondroplasia
• M-054 - STPM465 :
  • Rashed Harun: Machine learning-based identification of risk factors of hyperglycemia following Ipatasertib treatment in a metastatic castration-resistant prostate cancer population
• M-055 - STPM464 :
  • Matthew Wiens: A Machine Learning and Statistical Meta-Analysis for Trial Simulations Predicting Transitions from Relapsing-Remitting to Secondary Progressive Multiple Sclerosis
• M-061 - PMX457 :
  • Nadia Noormohamed: A Tale of Two Methods: A Comparison of Stepwise Covariate Modeling (SCM) and Manual Covariate Modeling
• M-078 - PMX440 :
  • Paul van den Berg: Innovative adaptive dose simulations in NONMEM to allow simulation-based model evaluation of titration-based dosing, applied to a population dose-hemoglobin model for daprodustat
• M-080 - STPM355 :
  • Shuhui Li: Evaluating Novel Pilot Pharmacokinetic Bioequivalence Study for Inhalation Powder Drug Products Exhibiting Batch-to-Batch Deviation
• M-081 - PMX354 :
  • Shuhui Li: Exploration the Potential Impact of Batch-to-Batch Variability of Inhalation Powder Drug Products on Pharmacokinetic Bioequivalence Study Power

Tuesday Nov 1

• T-004 - MCS379 :
  • Freya Bachmann: Dealing with Parameter Uncertainty - a Sensitivity Analysis for Computing Optimal Drug Dosing with OptiDose
• T-008 - STPM437 :
  • Mario Nagase: An Application of Neural-ODE to Population Pharmacokinetic Modeling
• T-010 - PMX435 :
  • Chih-Wei Lin: A Platform Model for Multiple Time-To-Event Endpoints in Oncology Clinical Trials
• T-015 - STPM430 :
  • Jian Zhou: Model-Based Meta-Analysis for Major Adverse Cardiovascular Events in Autoimmune Diseases Clinical trials - to Predict the Real-World Data
• T-022 - STPM423 :
  • James A Rogers: Analysis Planning and Interpretation Using Causal Directed Acyclic Graphs: A Case Study in Oncology
• T-023 - STPM422 :
  • Cameron McBride: Quantifying Uncertainty of Systems Model Predictions to Uncertainty in Fixed Parameters
• T-030 - STPM414 :
  • Sheetal Panday: Predicting the Incidence Proportion of Drug-Induced Serotonin Syndrome-Associated Tremors Using a Model-based Meta-Analysis
• T-032 - PMX412 :
  • Ahmed M Salem: A Full Bayesian Approach for Population Pharmacokinetic/Pharmacodynamic Modeling of Unfractionated Heparin in Pediatrics
• T-035 - STPM409 :
  • Lucie Fayette: Pharmacometrics Enhanced Bayesian Borrowing
• T-036 - STPM408 :
  • Xinrui Zhang: Bayesian Horseshoe prior for covariate selection in Exposure-Response analysis
• T-038 - STPM406 :
  • _Peter Bonate Investigation of potential applications of machine learning in covariate screening-
• T-039 - STPM405 :
  • Michael Pauley: Quantifying the impact of a high burden chronic disease on a clinical trial using clinical trial simulation tools
• T-041 - SFTL403 :
  • Elisabeth Roesch: Pumas-QSP: A high-performance and easy-to-use modeling tool for Advanced Pharmaceutical Sciences
• T-044 - STPM400 :
  • Douglas Marsteller: Markovian Chain Exposure-Response Analysis of Istradefylline (KW-6002) Assessed Using Daily Diary
• T-050 - PMX393 :
  • Monika Twarogowska: A method to correct VPC bias due to non-random dropout via censored data addition using the MonolixSuite
• T-055 - SFTL387 :
  • Jonathan Chauvin: RsPKanalix: an open-source package for MonolixSuite data formatting and reporting in R
• T-064 - STPM376 :
  • Federico Reali: A hybrid minimal PBPK and machine learning approach to predict drug penetration in tuberculosis lesions
• T-071 - PMX368 :
  • Brian Jermain: Development of Adaptive Dose Simulations Using R and mrgsolve to Improve Tolerability While Maximizing Dose Intensity in Oncology
• T-075 - STPM363 :
  • Kosalaram Goteti: Application of Model-Based Meta-Analysis to Set Benchmarks for New Treatments of Systemic Lupus ErythematosusT-077
• T-077 - STPM361 :
  • 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

Wednesday Nov 2

• W-004 - STPM349 :
  • Matthew Putnins: Powering And Designing Clinical Trials Using Exposure Response Modeling
• W-014 - SFTL339 :
  • Erik Hahn: An Oncology Dashboard for real-time analysis of early phase clinical PK/PD data using ROracle and R-Shiny
• W-030 - STPM323 :
  • Rahul Kumar: Goyal 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
• W-041 - PMX312 :
  • Lihong Du: A Bayesian Population Pharmacokinetic Model for Imipenem and Relebactam to Support Selection of Optimal Dosing Regimens for Children of Less Than 2 Years of Age
• W-074 - PBPK275 :
  • Ahmed Elmokadem: Bayesian PBPK Modeling using R/Stan/Torsten and Julia/SciML/Turing.jl