Client Challenge
The center focuses on stem cell preparation.
To improve batch-to-batch consistency, process adjustments traditionally relied on researcher experience and trial-and-error testing. Only a few parameters could be modified per experiment, making it difficult to understand how multi-parameter interactions affected quality.
This approach was time-consuming and lacked systematic improvement, resulting in unstable production and inefficient resource use.
The client sought therapiAI’s AI Agents to identify key enabling and limiting factors, shift to data-driven parameter selection, and achieve both stable production and more efficient development.
Solution Implemented
Introducing the BioFusion Analytics AI Agent. therapiAI’s AI Agent integrates historical process data with Explainable AI (XAI) to identify process drivers and inhibitors, while providing factor importance rankings to effectively enhance process stability and reproducibility.
Results Achieved
The AI Agents identified multiple critical factors affecting the process, including one material previously thought to be essential but revealed to be a limiting factor that increased cost and variability.
After adjusting the formulation accordingly:
• Production cost decreased by 20%
• Preparation time shortened by 25%
• Product quality consistency significantly improved
