Chromatography is the workhorse in biologics manufacturing processes, where its performance significantly contributes to the quality outcomes of the batch, and therefore must be carefully controlled. Process modeling and simulation is the best way to provide control to the process. This proposal aims to develop a hybrid chromatography modeling approach, utilizing state-of-the-art machine learning method, […]
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