"The PD optimizer gives us the ability to find optimal batch conditions in fewer runs, reducing raw materials costs and shaving weeks off our timeline- ultimately driving better productivity across the PD campaigns"
- PD scientist at global pharmaceutical company
Using AI to Optimize Process Development – A New Paradigm for Efficient PD
Chris Demers, Ph.D., Principal Scientist at Catalent, Suresh Ramanan, Associate Principal at ZS, and Vinodh Rodrigues, Life Sciences Product Owner at Quartic.ai, will share the benefits of digitalization and optimization in PD for accelerating and driving efficiency in the early stages of the product journey.
Optimizing DoE and Production Runs with Little Data
In this blog Quartic.ai chief data scientist Xiaozhou Wang, illustrates the improvement that Bayesian Optimization process provides for DoE and production runs in batch processes.