(15d) Applying Automation and Data-Driven Modeling to Perform Rapid Reaction Optimization

In this presentation, we will discuss the application of automation technology and data-driven modeling to perform rapid reaction optimization for mid-phase pharmaceutical process development. The goal is to highlight what we have observed to be an effective approach, but also to share the concepts that have emerged from iterative application and refinement over the past year. We will present the strategy and ideas relying on data from real applications where we have tracked both the time-to-complete and also the accuracy of the model predictions and identified optimal conditions with follow-up experiments. Our data show, with automation and the right modeling algorithms, reliable reaction optimization can be completed on the order of days, compared to weeks.