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...

Full description

Saved in:
Bibliographic Details
Main Authors: 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.
Other Authors: Singapore-MIT Alliance for Research and Technology
Format: Article
Language:English
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10356/173925
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Be the first to leave a comment!
You must be logged in first