Machine learning model opens door to real-time detection of cell therapy contamination
Researchers at the Massachusetts Institute of Technology’s Singapore site have developed a new way to detect adventitious microbial contamination in mesenchymal stromal cell cultures. By using machine learning to predict if a culture is contaminated in near real-time, the approach could enable testing to take place during the production of cell therapy products. Read More
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