Senior Principal Scientist/Director AbbVie Inc. Libertyville, Illinois
Elucidating Product Performance of Amorphous Solid Dispersion (ASD) Formulations Through Excipient Functionality and 3D Structure Evolution This session will present the story on how an in-house bio-predictive method was developed by honing into key in vivo variables and how functional excipient release and image analysis along with computational methods can be used in synergy to assess the gelation kinetics of ASD formulations, providing insights into underlying dissolution mechanisms.
Learning Objectives:
To learn the synergistic effects of hydrodynamics, surfactant, and two-stage approach in achieving an in-house bio-predictive method
Understand the role of excipient functionality in ASD gelation and dissolution behavior. Learn how excipient properties influence the kinetics of gel layer formation and overall drug release performance.
Explore image analysis approaches for predicting 3D structure evolution in ASD systems. Gain insights into modeling techniques that simulate gelation dynamics and spatial structure changes during dissolution.
Apply predictive tools to inform rational formulation design and performance optimization.
Learn how to integrate computational predictions into formulation workflows to enhance product development and mechanistic understanding.