2023
DOI: 10.1016/j.ijpharm.2023.123133
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A multi-step machine learning approach for accelerating QbD-based process development of protein spray drying

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Cited by 5 publications
(1 citation statement)
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“…Within the set of admissible solutions (parameter values), some may fulfill additional constraints, e.g., maximized sustainability of the process and product, or minimum production effort, as demonstrated by Przybyl and Kozela (e.g., deep and convolutional neural networks), [102] Ming et al (particle swarm optimization-enhanced artificial neural network), [103] or Fiedler et al (efficient design of experiments using a multi-step machine learning approach). [104] • Elucidation of fundamental relationships between operational, material parameters and product properties: Utilizing spray-drying data across different disciplines, e.g., material science, pharmaceuticals, or food and feed, AI methods may find fundamental relationships between the parameters and product properties, independent of the field of application. For this, a general open-access database, collecting and curating available experimental evidence across the applications, needs to be established by the spray-drying community (academia and industry).…”
Section: Spray-drying: Technical Advantages and Limitationsmentioning
confidence: 99%
“…Within the set of admissible solutions (parameter values), some may fulfill additional constraints, e.g., maximized sustainability of the process and product, or minimum production effort, as demonstrated by Przybyl and Kozela (e.g., deep and convolutional neural networks), [102] Ming et al (particle swarm optimization-enhanced artificial neural network), [103] or Fiedler et al (efficient design of experiments using a multi-step machine learning approach). [104] • Elucidation of fundamental relationships between operational, material parameters and product properties: Utilizing spray-drying data across different disciplines, e.g., material science, pharmaceuticals, or food and feed, AI methods may find fundamental relationships between the parameters and product properties, independent of the field of application. For this, a general open-access database, collecting and curating available experimental evidence across the applications, needs to be established by the spray-drying community (academia and industry).…”
Section: Spray-drying: Technical Advantages and Limitationsmentioning
confidence: 99%