Roundtable Discussion: Data to Decisions: Applying AI to Transform Complex Analytical Datasets into Predictive Insight for Oligonucleotide Process Optimization
- Applying AI to integrate chromatographic, spectrometric, and in-process datasets to uncover relationships between process parameters and product quality
- Developing predictive models to simulate scale-up performance, parameter sensitivity, and process robustness before implementing manufacturing changes
- Embedding AI-driven analytics into change control and lifecycle management workflows to support consistent, data-backed manufacturing decisions across sites and stages