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Digital Twin Calibration for Biological System-of-Systems: Cell Culture Manufacturing Process
May 8, 2024, 4:42 a.m. | Fuqiang Cheng, Wei Xie, Hua Zheng
cs.LG updates on arXiv.org arxiv.org
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
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