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...

Descripción completa

Detalles Bibliográficos
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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2023
Materias:
Research Article
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

Internet

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

Ejemplares similares