2026 ACCP/UCSF Digital Health Webinar

Live Session: Part 1 - Wednesday, November 11^th, 2026, from 1:00 to 2:30 PM ET

                    Part 2 - Wednesday, November 18^th, 2026, from 1:00 to 2:30 PM ET

On Demand: Part 1 - November 11^th, 2026 to November 11^th, 2029

                   Part 2 - November 18^th, 2026 to November 18^th, 2029

Why is this webinar important to your practice? 

Learners completing this activity will be able to describe the fundamental principles and emerging applications of Organ-on-a-Chip (OoC) technology in clinical pharmacology and drug development. This activity will explore how microengineered systems replicate aspects of human organ structure and function to provide human-relevant models for investigating drug disposition and response. Faculty will discuss applications of OoC systems in preclinical and early-phase drug development, including the evaluation of absorption, distribution, metabolism and excretion (ADME), prediction of metabolic pathways and drug clearance and assessment of enzyme- and transporter-mediated drug–drug interactions. The activity will also examine how OoC-generated data can support pharmacokinetic/pharmacodynamic (PK/PD) analyses, physiologically based pharmacokinetic (PBPK) modeling and translational decision-making, including the prediction of human drug exposure and first-in-human dose selection. Current limitations and challenges related to validation, reproducibility and standardization will also be addressed.

Target Audience:

Interprofessional team of Physicians, Pharmacists, PhDs and other health care professionals interested in the application of Organ-on-a-Chip technology to translational research, drug disposition modeling and clinical drug development decision-making.

Learning Objectives

After completing this activity, the learner will be able to:

• Describe the fundamental principles of Organ-on-a-Chip (OoC) technology and its applications in preclinical and early-phase drug development.
• Identify how OoC systems can be used to investigate drug absorption, distribution, metabolism and excretion (ADME), including drug clearance and drug–drug interactions.
• Explain how OoC-generated data can support pharmacokinetic modeling, prediction of human drug exposure and translational decision-making in drug development.