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From In-line Data to Process Insights: PAT Meets Hybrid Modeling | Part 1 - CHO Cultures: Holistic Monitoring, Forecasting and Early Anomaly Detection
Process Analytics
Part 1: CHO Cultures: Holistic Monitoring, Forecasting and Early Anomaly Detection
Join experts from Hamilton, TH OWL, and DataHow for an in-depth webinar on how advanced in-line sensing and AI-powered modeling can transform CHO cell culture monitoring. Part 1 of our webinar series, From In-line Data to Process Insights: PAT Meets Hybrid Modeling, covers real-world experimental results and practical approaches to making bioprocesses smarter, more predictable, and more robust.
What you'll learn:
- How to combine inline (continuous) and offline (discontinuous) process data for real-time estimation of key culture parameters
- How to model and forecast critical variables such as viable cell density (VCD), total cell density (TCD), viability, glucose, lactate, and ammonia
- How Hamilton's entire Sensor portfolio can contribute in a bioprocess
- How DataHowLab transforms experimental and historical bioprocess data into actionable decisions for faster, more efficient development using Hybrid Modeling
- How to detect process anomalies early — from defective probes to contamination events — before they impact your batch
Speakers
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Dr. Katharina Dahlmann
PAT & Application Expert, Hamilton -
Prof. Dr. Björn Frahm
Professor for Biotechnology and Bioprocessing, TH OWL -
Miguel Pupo Correia
Process Modelling Engineer, DataHow