Researchers pioneer a new way to detect microbial contamination in cell cultures

The anomaly-detection model developed by SMART utilizes machine learning to detect microbial contamination within a few minutes.

bioengineering and biotechnology cells dmse health care machine learning medicine microbes research researchers school of engineering