5 Key Takeaways

• 1

  AI-enabled self-driving laboratories in bioprocess engineering will likely be hybrid systems with automated decision-making and human oversight.

• 2

  Current bioprocess automation primarily operates at Levels 1 to 2, requiring significant human oversight due to biological complexity and regulatory constraints.

• 3

  A modular hybrid-lab framework is proposed, combining fully automated core processes with partially automated or manual auxiliary processes.

• 4

  Scale-up from experimental volumes to pilot and manufacturing scales presents challenges due to nonlinear process behavior and differing infrastructure.

• 5

  The future of bioprocess innovation lies in designing hybrid systems that integrate human expertise with AI-driven automation for reliable outcomes.