How We Brought Bioreactors and ML Together
summary
Describes integrating bioreactors with machine learning at pharmaceutical company BIOCAD: using ML to monitor and control bioreactor processes in drug development and manufacturing. Covers practical technologies and workflows for collecting reactor data, applying ML models, and deploying them to improve process reliability and outcomes.
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chapters (7)
- 0:00Introduction
- 3:58Bioreactor production process
- 8:13Digital twin approaches
- 15:51Virtual sensors case study
- 22:56Temperature shift optimization
- 27:45Future plans
- 32:17Q&A
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