Automated Data-Efficient Symbolic Regression for Interpretable Bioprocess Model Development.
Bioprocessing is central to the sustainable manufacture of pharmaceuticals, food products, and renewable chemicals. Consequently, developing high-fidelity kinetic models to facilitate accurate process prediction, optimisation, and scale-up is a top research priority. However, bioprocess model construction remains hinde...