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Enhancing the Upstream Performance of Adeno-Associated Virus (AAV) Vector Manufacturing via Multivariate Data Analysis

In the rapidly evolving field of gene therapy, process optimization is key to success. Viralgen's latest poster reveals how multivariate data analysis (MVDA) enhances upstream AAV vector manufacturing by identifying critical parameters and their impact on productivity.

Key Highlights:

  • Data-Driven Insights: MVDA uncovers the relationships between parameters like viable cell density (VCD), glucose consumption, and productivity.

  • Batch Performance Comparison: The study demonstrates how predictive modeling can explain batch variability and guide process improvements.

  • Next Steps in AAV Manufacturing: Viralgen emphasizes scaling predictive models and incorporating new data for continuous process refinement.

If you're passionate about advancing bioprocessing technology, this research provides a comprehensive view of how analytics drive efficiency and scalability in AAV production.

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