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What is Bioprocess Scale-Up Modeling Techniques about?

The paper proposes a computational scale-up approach for bioprocesses using regularized linear and logistic regression models. These models can automatically identify influential parameters and predict their values at large scale. The method was tested on cytotoxic compound production, accurately predicting yields scaling up from flasks and 2L to 30L fermenters. The scale-up involved encoding variables, yield prediction with regularized linear regression, data rearrangement, and large scale modeling with re

Author

Laura Castellanos Suárez

Language

EN