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

Research output: Contribution to conferencePoster

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Abstract

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.
Original languageEnglish
Publication statusPublished - 14 Jun 2023
EventCMAC Summer School -
Duration: 14 Jun 202316 Jun 2023

Conference

ConferenceCMAC Summer School
Period14/06/2316/06/23

Keywords

  • computational modelling
  • Artificial Intelligence (AI)
  • hybrid machine
  • Deep Neural Networks (DNNs)

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