Project: Development of an integrated end-to-end simulation platform for continuous manufacturing of oral tablets
2022-10-01 – 2025-09-30
- Abstract
Despite manufacturing innovations and technologies on the rise, solid oral dosage in the pharmaceutical industry is still mass production. Although this is efficient and cost-effective, it is typically based on a ‘one-size-fits-all’ product concept and lacks the flexibility and agility required to fully meet the needs of the individual patient. Nowadays the pharmaceutical industry is experiencing a paradigm shift from batch to continuous manufacturing. This will lead to increased flexibility to target diverse populations as well as more consistent product quality to ensure the best efficacy. Continuous processing integrated with online/inline monitoring tools coupled with an efficient automatic feedback control system is highly desired by the pharmaceutical industry. To facilitate the transition from the batch-wise production to continuous manufacturing in the pharma industry engineering tools are needed. The aim of this project is to develop a digital platform for tablet manufacturing that integrates mechanistic models and data-driven tools for real-time predictions, analysis of the disturbances and uncertainties and allows the development of both unit processes level and plant-wide control strategies. This platform provides a flexible, safe, and economically feasible environment for real-time optimization and future scenario analysis. As such it represents a powerful decision-making tool for the operation and control of continuous tablet manufacturing lines.
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- Journal Article
- A1
- open access
Modeling drug retention as memory effects in obese patients using fractional and augmented models
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- Journal Article
- A1
- open access
Artificial intelligence-driven prognosis of respiratory mechanics : forecasting tissue hysteresivity using long short-term memory and continuous sensor data
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- Journal Article
- A2
- open access
Model extraction from clinical data subject to large uncertainties and poor identifiability
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- Journal Article
- A1
- open access
Sustainability and predictive accuracy evaluation of gel and embroidered electrodes for ECG monitoring
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- Journal Article
- A1
- open access
Selecting optimal Long Short-Term Memory (LSTM) architectures for online estimation of mean arterial pressure (MAP) in patients undergoing general anesthesia
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- Journal Article
- A1
- open access
Data-driven identification and comparison of full multivariable models for propofol-remifentanil induced general anesthesia
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- Journal Article
- A1
- open access
Development, validation, and comparison of a novel nociception/anti-nociception monitor against two commercial monitors in general anesthesia
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- Conference Paper
- P1
- open access
Modelling of blood loss influence on propofol concentrations and anesthetic states in critical responses
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- Journal Article
- A1
- open access
Predictive control strategy for continuous production systems: a comparative study with classical control approaches using simulation-based analysis