A Model-Based Upstream Process Optimization

Join Dr. Moritz von Stosch, DataHow’s CIO, and Angela Botros, DataHow’s Process modeling engineer, as they discuss how new technologies will fundamentally change process development, leading to robust and scalable processes. In this presentation, the speakers will describe how processes can be optimized using a model-based approach and also demonstrate how it’s done using DataHowLab.

Process optimization is the practice of adjusting a process to minimize cost while maximizing throughput and efficiency without compromising the quality of the end process. In this webinar, discover how hybrid models, transfer learning, and active learning provide the keys to achieving process optimization in bioprocess development.

Key topics will include:

• Why process optimization is so complex;
• Case studies where existing data is leveraged to accelerate process development;
• How wet labs could be replicated by in silico experimentation.