AI-Assisted optimisation of oral solid dosage form development : unlocking efficiency and precision
Salehian, Mohammad and Moores, Jonathan and Abbas, Faisal and Markl, Daniel (2023) AI-Assisted optimisation of oral solid dosage form development : unlocking efficiency and precision. In: CMAC Summer School, 2023-06-14 - 2023-06-16.
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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.
ORCID iDs
Salehian, Mohammad ORCID: https://orcid.org/0000-0003-4073-292X, Moores, Jonathan, Abbas, Faisal and Markl, Daniel ORCID: https://orcid.org/0000-0003-0411-733X;-
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Item type: Conference or Workshop Item(Poster) ID code: 85944 Dates: DateEvent14 June 2023PublishedSubjects: Medicine > Pharmacy and materia medica > Pharmaceutical technology
Science > Science (General) > Cybernetics > Self-organizing systems. Conscious automataDepartment: Faculty of Science > Strathclyde Institute of Pharmacy and Biomedical Sciences Depositing user: Pure Administrator Date deposited: 27 Jun 2023 11:29 Last modified: 11 Nov 2024 17:09 URI: https://strathprints.strath.ac.uk/id/eprint/85944