Harnessing AI/ML for intelligent decision making in cell and gene therapy manufacturing
Biotechnology Innovation Organization
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Abstract
Irene Rombel discusses how artificial intelligence and machine learning can address bottlenecks, quality issues, and production costs in cell, gene, and RNA therapy manufacturing. The seminar focuses on real-world process-development applications that improve reproducibility, speed, and cost effectiveness.
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