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AI “Smoke Alarm” Could Detect Culture Contamination Earlier

Artificial intelligence (AI) could help biopharmaceutical manufacturers detect contamination in cell cultures sooner than conventional approaches, thereby helping to reduce waste and batch losses. The idea of using machine learning (ML), a type of AI that finds patterns in data without instruction, to identify contamination comes from researchers at Virginia Polytechnic Institute and State University, who say current detection methods take too l…

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GEN - Genetic Engineering and Biotechnology News… broke the news in on Wednesday, December 3, 2025.
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