American Institution of Chemical Engineers (AIChE) Annual Meeting

Virtual Meeting - November 2020

This content has been restricted to logged in users only. Please login to view this content.

Sponsored Talk Workshop: Microstructure Characterization for Drug Development: Novel AI Analytics and Release Prediction 

The DigiM team showcases a suite of high resolution image-based tools for quantifying and correlating microstructures with drug performance and behavior. The combination of micro-imaging, AI-based image analytics, and image-based modeling presents a new platform for advancing drug design and evaluation. Abstract here.

This content has been restricted to logged in users only. Please login to view this content.

Linking Process & Performance of Drug Products with Micro-Image Analytics

Image-based characterization can be utilized in drug product development for a fundamental understanding of the process-property-performance interplay, optimizing formulation process and design, and increasing manufacturability. The combination of micro-imaging, AI-based image analytics, and image-based modeling presents a new platform for advancing drug design and evaluation, with significantly reduced evaluation time, improved drug performance, and lowered costs of in vitro and in vivo experiments. Abstract here.

This content has been restricted to logged in users only. Please login to view this content.

Computer Aided Drug Formulation Design with Image-Based Microstructure Modeling

DigiM will present a computer aided drug formulation model (CADF) to generate microstructures from static properties. From the CADF model, full 3D microstructures corresponding to variants of the formulation can be numerically generated and evaluated. Abstract here.