AI-Driven Nondestructive Assessment of iPSC Pluripotency and Manufacturing Outputs

Here, we explore the integration of artificial intelligence and machine learning into the complex field of cell and gene therapy manufacturing. We highlight the Insights™ platform, which harmonizes diverse data streams to create predictive models that enhance production efficiency and product quality, and demonstrate how deep learning can non-destructively evaluate stem cell pluripotency using early-stage microscopy and process data.