Digital Twin Calibration for Biological System-of-Systems: Cell Culture Manufacturing Process

arXiv:2405.03913v1 Announce Type: cross
Abstract: Biomanufacturing innovation relies on an efficient design of experiments (DoE) to optimize processes and product quality. Traditional DoE methods, ignoring the underlying bioprocessing mechanisms, often suffer from a lack of interpretability and sample efficiency. This limitation motivates us to create a new optimal learning approach that can guide a sequential DoEs for digital twin model calibration. In this study, we consider a multi-scale mechanistic model for cell culture process, also known as Biological Systems-of-Systems (Bio-SoS), …

abstract arxiv calibration create cs.lg culture design digital digital twin efficiency innovation interpretability manufacturing process processes product q-bio.qm quality sample stat.ml systems twin type