ACoP15 Programming

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

November 7, 2024

Link to the ACoP15 program and abstracts

Monday Nov 11

11:00 AM – 12:30 PM C1B - Intersecting Realities: Showcasing the Power of Imaging and Modeling in Biomedicine and Drug Development

  • Mirwais Wardak: Image-Based Computational Fluid Dynamics Modeling of Inthrathecal Drug Delivery for CNS Diseases [AI/ML]

11:00 AM – 12:30 PM BOAF1 - Overcoming the Challenges of Cancer Drug Resistance: Applying Evolutionary Principles from Bench to Bedside

  • Jeffrey West: Designing evolution-based treatment strategies based on the principles of convexity and concavity [Study design]

12:30 PM – 2:00 PM LL1 - Standardization and Best Practices as Bridges to the Future: Securing the Foundation for Growth of Model-Informed Drug Development

  • Jace Nielsen: Pharmacometrics Workflow: Points to Consider for Efficient, High-Quality, and Reproducible Analyses [Best practices]

3:15 PM – 4:45 PM C2A - Enabling Progress Against Alzheimer’s Disease: Power of Diverse Pharmacometrics Approaches

  • Ivelina Gueorguieva: Model Informed Drug Development (MIDD) in Alzheimer’s Disease [AI/ML]

Wednesdsay Nov 13

9:00 AM – 10:30 AM C4A

  • What is the future and impact of artificial intelligence and machine learning (AI/ML) in each SIGs [AI/ML]

9:00 AM – 10:30 AM C4B - Challenges in characterizing treatment response in oncology - Pitfalls and solutions

  • Andrew C. Hooker: The flawed assumption of proportional hazards in oncology studies - What are the alternatives? [Statistical methodology]

9:00 AM – 10:30 AM C4C

  • Decoding the Past, Crafting the Future: Unraveling the Role of Confounding in Exposure-Response Relationships for Small and Large Molecules [Statistical methodology]

10:45 AM – 12:15 PM RC1 - Roller Coaster 1

  • Theodore Lystig: Opportunities between ASA BioPharm and ISOP: Training the next generation Quantitative Scientists [Training]

12:15 PM – 1:45 PM SxP SIG Lunch

1:45 PM – 3:15 PM C5B

  • The Practical Bayesian: How Bayesian Methodology is Incorporated into Clinical Drug Development [Bayesian statistics]

1:45 PM – 3:15 PM C5C

  • Deep Learning in PKPD and Pharmacometrics: Diversity of Approaches and Applications [AI/ML]

Wednesdsay Nov 14

8:00 AM – 12:00 PM

  • Tutorial: Using Past Models to Bridge to Open Models and Open Science using nlmixr2 [tools]

8:00 AM – 12:00 PM

Tutorial: Model-Based Meta-Analysis: towards more precisely predicted clinical scenarios [MBMA]