Modeling methods to simulate and optimize the process

This activity provides an overview of the different categories of process modeling—empirical, mechanistic, and AI-based—as well as a methodology for model design and validation.

This activity illustrates the use of predictive analysis in bioproduction through a practical case using a tangential flow filtration simulator based on a mechanistic model, along with an example of model optimization using artificial intelligence (AI).

This activity presents the use of prescriptive analysis in bioproduction through a practical case using a tangential flow filtration simulator based on a mechanistic model, with a focus on the Digital Twin and a feedback control loop driven by artificial intelligence (AI).

A short evaluation at the end of the module to confirm what you have learned and access the next module (no limit on attempts, 80% correct answers required)