Evaluating AAV Process Parameters Using Historical Data Analysis
Robust data analysis is key to optimizing AAV manufacturing. This case study from Andelyn Biosciences demonstrates how statistical evaluation of large historical datasets can identify process parameters that impact outcomes across multiple serotypes and transgenes.
Inside you’ll learn:
- How exploratory data visualization and correlation analysis were applied to AAV production records
- Which in-process parameters showed meaningful correlations with clinical results
- Case study findings on harvest titers, recoveries, and product purity
- How data insights inform process control and manufacturing consistency
Robust data analysis is key to optimizing AAV manufacturing. This case study from Andelyn Biosciences demonstrates how statistical evaluation of large historical datasets can identify process parameters that impact outcomes across multiple serotypes and transgenes.
Inside you’ll learn:
- How exploratory data visualization and correlation analysis were applied to AAV production records
- Which in-process parameters showed meaningful correlations with clinical results
- Case study findings on harvest titers, recoveries, and product purity
- How data insights inform process control and manufacturing consistency
Robust data analysis is key to optimizing AAV manufacturing. This case study from Andelyn Biosciences demonstrates how statistical evaluation of large historical datasets can identify process parameters that impact outcomes across multiple serotypes and transgenes.
Inside you’ll learn:
- How exploratory data visualization and correlation analysis were applied to AAV production records
- Which in-process parameters showed meaningful correlations with clinical results
- Case study findings on harvest titers, recoveries, and product purity
- How data insights inform process control and manufacturing consistency