Accelerating bioprocess digital twin development by integrating hybrid modelling with transfer learning

• Hybrid modelling and transfer learning accelerate bioprocess digital twin design. • Transfer learning adapt hybrid model to new strains, enhancing predictive accuracy. • Combining AI with kinetic models overcome data scarcity in bioprocess modelling. • Proposed framework generalise to other complex (bio)chemical reaction systems. Biomanufacturing is crucial for sustainable production, yet challenges often arise in industrialising new bioprocesses, such as the need for novel strains and optimal operating conditions. To accelerate high-fidelity digital twin development for new bioprocess design, this study explores integrating hybrid modelling and transfer learning, combining mechanistic models with machine…