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Tags: Predictive modeling

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  1. Predicting Pharmaceutical Particle Size Distributions Using Kernel Mean Embedding

    Contributor(s):: Van Hauwermeiren, Daan, Stock, Michiel, De Beer, Thomas, Nopens, Ingmar

    In the pharmaceutical industry, the transition to continuous manufacturing of solid dosage forms is adopted by more and more companies. For these continuous processes, high-quality process models are needed. In pharmaceutical wet granulation, a unit operation in the ConsiGmaTM-25 continuous...

  2. Continuous direct compression: Development of an empirical predictive model and challenges regarding PAT implementation

    Contributor(s):: Bekaert, B., Van Snick, B., Pandelaere, K., Dhondt, J., Di Pretoro, G., De Beer, T., Vervaet, C., Vanhoorne, V.

    In this study, an empirical predictive model was developed based on the quantitative relationships between blend properties, critical quality attributes (CQA) and critical process parameters (CPP) related to blending and tableting. The blend uniformity and API concentration in the tablets were...