.png)
.png)
In this interactive webinar, BioRaptor CTO and Co-Founder Yaron David walks through a hands-on root cause analysis session using a realistic CHO cell bioprocess dataset. Starting from raw online and offline measurements, the session shows how to methodically investigate yield variability across runs, identify contributing factors, and move from intuition-driven troubleshooting to structured, data-driven decision making. The focus is not on theory, but on how teams can practically analyze multi-run bioprocess data to explain variability, improve robustness, and shorten time to insight.
01:08 - scenario and root cause analysis introduction
04:54 - investigating the dataset with BioRaptor
06:16 - exploring data and identifying patterns
11:47 - building and interpreting the model
17:42 - key takeaways
Watch the recording
Ready to get actionable insights from YOUR data? Get in touch with us and we’ll show you what’s possible.
