Optimizing Pharmaceutical Manufacturing Processes with Machine Learning and Simulation

Virtual process optimization is a key component of the digital transformation strategy in the pharmaceutical industry with the traditional physics based simulation approach already reducing manufacturing costs and time to market for new formulations. Machine learning can be used to substantially increase the benefit of physics-based simulations by reducing computational expense and maximizing learning.

Presented by Stefan Pantaleev, Lead Engineer I Altair at Optimizing Pharmaceutical Manufacturing Processes with Machine Learning and Simulation Webinar. 55 Mins.