ACoP16 Posters

ACoP15
Posters
SxP reviewed the ACoP program and abstracts to select content of interest for SxP
Published

October 18, 2025

Link to the ACoP16 abstracts

Sunday Oct 19

  • (S-010)
    • Bayesian modeling allows early inference of pharmacokinetic/pharmacodynamic relationship for a novel small molecule STING agonist in Phase I
  • (S-014)
    • Survival Modeling of Dementia Risk Using Metabolic Syndrome-Related Genetic Variants
  • (S-015)
    • Improving Physical Activity Classification with Free-living Wrist Sensor Data: Diving into Unique Feature Groups
  • (S-039)
    • Machine Learning and Mechanistic Modeling to Predict Intravenous Pharmacokinetic Profiles in Humans
  • (S-046)
    • Assessment of Weight Loss by Amylin Receptor Agonists Alone and In Combination with GLP-1 Receptor Agonists: A Model-Based Meta-Analysis
  • (S-054)
    • Computer Modeling of Bevacizumab Drug Distribution After Intravitreal Injection in Rabbit and Human Eyes
  • (S-108)
    • Impact of Misspecified Residual Error Model for Heavy-Tailed Error Distribution on PK Model Parameter Estimates
  • (S-114)
    • A Bayesian Population Pharmacokinetic Analysis of Oritavancin in Pediatric Patients with Skin Infections
  • (S-116)
    • A Novel Bayesian Adaptive Design for Phase I Dose Escalation with Improved Efficiency and Accuracy in Estimation of Maximum Tolerated Dose

Monday October 20

  • (M-004)
    • Optimal Sampling Workflows with NMsim and NONMEM
  • (M-023)
    • Towards uncertainty assessment-based acceptability thresholds for model validation?
  • (M-078)
    • Combining Mechanistic Modeling and Deep Learning for Predicting Survival Probabilities in Oncology
  • (M-083)
    • Disease progression simulation via generative AI: assessing the credibility of a conditional longitudinal autoencoder via a case study in Alzheimer’s Disease

Tuesday October 21

  • (T-039)
    • Predicting Tumor Growth Dynamics and Overall Survival with Deep Learning Model
  • (T-068)
    • Model selection for precision dosing: Comparison of Machine Learning and Evidence-plus-Expertise Algorithms
  • (T-069)
    • Simplifying the Communication of Covariate Effects from Pharmacometric Models - The Role of Unconditional Covariate Effects