Explainable deep learning enhances robust and reliable real‐time monitoring of a chromatographic protein A capture step
Matthias Medl,
Friedrich Leisch,
Astrid Dürauer
et al.
Abstract:The application of model‐based real‐time monitoring in biopharmaceutical production is a major step toward quality‐by‐design and the fundament for model predictive control. Data‐driven models have proven to be a viable option to model bioprocesses. In the high stakes setting of biopharmaceutical manufacturing it is essential to ensure high model accuracy, robustness, and reliability. That is only possible when (i) the data used for modeling is of high quality and sufficient size, (ii) state‐of‐the‐art modeling… Show more
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