Dr. Moritz Rosch, process expert at KORSCH Innovation Center, presented a poster on how machine learning can accelerate tablet development by predicting critical quality attributes (CQAs) such as hardness, tensile strength, solid fraction, and weight directly from inline process features. This approach reduces reliance on destructive offline tests, saves valuable material, and enables faster iteration during formulation and process screening.

Note: This article was written during the author’s employment at KORSCH AG.