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Bioprocess Feeding Optimization Through In-Silico Dynamic Experiments and Hybrid Digital Models - A Proof of Concept In this work we suggest a methodology to perform the feeding schedule optimization of mammalian cell cultures by virtualizing part of the experimental campaign on a hybrid digital model of the process, which accelerates the experimentation and reduces the experimental burden. The proposed methodology couples Design of Dynamic Experiments (DoDE) with a hybrid semi-parametric digital model. In particular, DoDE is used to design optimal experiments with time-varying factors’ profiles whose experimental data are then utilized to train the hybrid model which is able to identify the optimal time profiles of glucose and glutamine maximizing the antibody titer in the culture despite the limited number of experiments performed on the process. https://lnkd.in/ghabD9Az #aspenalert #biotech #bioprocess

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