activity
20202026
most citedSimulation-Based Digital Twin Development for Blockchain Enabled End-to-End Industrial Hemp Supply Chain Risk Management

6 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.CB2026

GlycoMAC: A Multiscale Metabolic-Glycosylation Framework for Predicting Glycosylation Across Conditions in Mammalian Cell Cultures

Yuming Zeng, Sarah W. Harcum, Jinxiang Pei +1

Antibody productivity and glycosylation quality in CHO cell cultures emerge from a dynamically evolving metabolic environment, yet existing models often work in isolation or at a s…

q-bio.MN2026

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…

q-bio.MN2023★ 1 cited

Stochastic Biological System-of-Systems Modelling for iPSC Culture

Hua Zheng, Sarah W. Harcum, Jinxiang Pei +1

Large-scale manufacturing of induced pluripotent stem cells (iPSCs) is essential for cell therapies and regenerative medicines. Yet, iPSCs form large cell aggregates in suspension…

cs.CR2020★ 1 cited

Blockchain-Enabled Internet-of-Things Platform for End-to-End Industrial Hemp Supply Chain

Keqi Wang, Wei Xie, Wencen Wu +2

After being legalized as an agricultural commodity by the 2018 U.S. Farm Bill, the Industrial Hemp production is moved from limited pilot programs to a regulated agriculture produc…

cs.CR2020★ 6 cited

Simulation-Based Digital Twin Development for Blockchain Enabled End-to-End Industrial Hemp Supply Chain Risk Management

Keqi Wang, Wei Xie, Wencen Wu +4

With the passage of the 2018 U.S. Farm Bill, Industrial Hemp production is moved from limited pilot programs to a regulated agriculture production system. However, Industrial Hemp…