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Machine learning model enables adventitious agent detection in cell cultures

Researchers have developed a process analytical technology, called the anomaly detection model, to monitor microbial contamination in cell cultures.

Shou leeShruthi pandi chelvamDerrick yongInterdisciplinary research groupAlliance for researchResearch engineerStacy springsYie hou leeScientific director

Singapore develops method to detect microbial contamination in cell cultures

SMART Researchers pioneer an anomaly detection model that utilizes machine learning to detect the presence of microbial contamination in near-real-time

Shruthi pandi chelvamDerrick yongInterdisciplinary research groupAlliance for researchGood manufacturing practiceResearch engineerStacy springsMicrobial contaminationCell cultures

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