6 papers
Intracellular Measurement-Informed Multiscale Modeling for Scalable iPSC Manufacturing
Fuqiang Cheng, Zahra Foroozan Jahromi, Keqi Wang +10
Scalable manufacturing of human induced pluripotent stem cells (iPSCs) is essential for industrial-scale production of cell therapies and regenerative medicines. However, the 3D ag…
A Modular Mechanistic In Silico Model for In Vitro Transcription Process Yield and Product Quality Prediction
Keqi Wang, Keilung Choy, Eli Reiser +10
In vitro transcription (IVT) plays a critical role in the manufacture of mRNA vaccines and therapeutics. Optimizing mRNA yield and ensuring product quality, such as capping efficie…
Variance Reduction Based Experience Replay for Policy Optimization
Hua Zheng, Wei Xie, M. Ben Feng +1
Effective reinforcement learning (RL) for complex stochastic systems requires leveraging historical data to improve sample efficiency and accelerate policy optimization. However, c…
A Symbolic and Statistical Learning Framework to Discover Bioprocessing Regulatory Mechanism: Cell Culture Example
Keilung Choy, Wei Xie, Keqi Wang
Bioprocess mechanistic modeling is essential for advancing intelligent digital twin representation of biomanufacturing, yet challenges persist due to complex intracellular regulati…
Digital Twin Calibration with Model-Based Reinforcement Learning
Hua Zheng, Wei Xie, Ilya O. Ryzhov +1
This paper presents a novel methodological framework, called the Actor-Simulator, that incorporates the calibration of digital twins into model-based reinforcement learning for mor…
Adjoint Sensitivity Analysis on Multi-Scale Bioprocess Stochastic Reaction Network
Keilung Choy, Wei Xie
Motivated by the pressing challenges in the digital twin development for biomanufacturing systems, we introduce an adjoint sensitivity analysis (SA) approach to expedite the learni…