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Machine learning-based detection of adventitious microbes in T-cell therapy cultures using long-read sequencing
Assuring that cell therapy products are safe before releasing them for use in patients is critical. Currently, compendial sterility testing for bacteria and fungi can take 7–14 days. The goal of this work was to develop a rapid untargeted approach for the sensitive detection of microbial contaminant...
Autores principales: | Strutt, James P. B., Natarajan, Meenubharathi, Lee, Elizabeth, Teo, Denise Bei Lin, Sin, Wei-Xiang, Cheung, Ka-Wai, Chew, Marvin, Thazin, Khaing, Barone, Paul W., Wolfrum, Jacqueline M., Williams, Rohan B. H., Rice, Scott A., Springs, Stacy L. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580871/ https://www.ncbi.nlm.nih.gov/pubmed/37646508 http://dx.doi.org/10.1128/spectrum.01350-23 |
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