Health
Digital twins for bioprocessing
Bioprocessing is becoming more data-rich, but not automatically more predictable. Digital twins can narrow that gap when sensing, modeling, and process control are built as one system.
Published on 28/01/2026
From snapshots to continuously informed process control
The strongest digital twin strategies depend on better upstream measurements. That makes sensor development, robust modeling, and domain-specific calibration just as important as the software layer people usually associate with the term.
For imec, the opportunity is to bridge device-level innovation with production realities in pharma and biotech, where small improvements in process insight can materially affect yield, cost, and quality.