AI-Assisted optimisation of oral solid dosage form development: unlocking efficiency and precision

We use computational modelling and artificial intelligence (AI) to develop an autonomous digital workflow for drug product manufacturing and testing system. The hybrid machine uses critical raw material attributes (CMAs) and critical process parameters (CPPs) to predict mixture properties and tablet critical quality attributes (CQAs). The model-based optimisation framework smartly designs the experiments to drive the self-optimising formulation and process system and update the hybrid machine to learn from the experiments performed.