Improving N-Glycosylation and Biopharmaceutical Production Predictions Using AutoML-Built Residual Hybrid Models
Pedro Seber, Richard D. Braatz
This paper develops residual hybrid models combining mechanistic and machine learning to improve predictions of N-glycosylation and biopharmaceutical production, achieving significantly lower prediction errors.