Predicting pharmaceutical powder flow from microscopy images using deep learning
Matthew R. Wilkinson, Laura Pereira Diaz, Antony D. Vassileiou, John A. Armstrong, Cameron J. Brown, Bernardo Castro‐Dominguez, Alastair J. Florence
Abstract
We present deep learning to predict the flowability of pharmaceuticals from microscopy images. This enables flowability assessments with smaller API quantities, saving experiment time and costs when material is limited during early drug development.
Topics & Concepts
Deep learningMicroscopyMaterials scienceArtificial intelligenceFlow (mathematics)NanotechnologyProcess engineeringComputer scienceOpticsMechanicsEngineeringPhysicsInnovative Microfluidic and Catalytic Techniques InnovationIntravenous Infusion Technology and SafetyInjection Molding Process and Properties