According to the World Health Organization, antibiotic resistance is one of the biggest threats to global health, food security, and development today. To limit the emergence and spreading of new resistances, fast diagnostic tools needs to be developed in order to avoid the overprescription of broad-spectrum antibiotics. Low cost and fast MALDI-TOF MS technology has become an approach of choice for bacterial identification. However, it has several drawbacks: it requires a long step of bacterial culture prior to analysis (>24h), it has a low specificity and is not quantitative.
WP 028 – Ultrafast bacterial detection in Urine using high-throughput proteomics and artificial intelligence
by Eva Bryderup