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.
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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.
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.