SMART Researchers pioneer an anomaly detection model that utilizes machine learning to detect the presence of microbial contamination in near-real-time
Scientists at SMART develop a rapid and accurate analytical test method capable of early-stage detection of microbial contaminations enhances the production of high-quality cell therapy products
Researchers from Singapore-MIT Alliance for Research and Technology have discovered a novel phage lysin – Abp013 – that displays great potential as an alternative antimicrobial agent against Gram-negative, multidrug-resistant bacteria.
Researchers from the Antimicrobial Resistance (AMR) Interdisciplinary Research Group (IRG) at Singapore-MIT Alliance for Research and Technology (SMART)