New patent filed regarding early prediction of resistance mechanism using machine learning
We are happy to announce that we have filed a patent application with PRV (the Swedish Patent and Registration Office) that concerns the use of machine learning-based methods to be able to detect antibiotic resistance in patient samples at an early stage.
The new detection feature will add significant value to QuickMIC® − currently the fastest AST-system on the market for positive blood cultures, and capable of delivering detailed MIC results in 2-4 hours. The new feature is an early warning system which will make it possible to detect certain resistances already after half the normal running time. It will enable continuously monitoring of all information from the QuickMIC instrument in order to immediately flag when a patient is at risk of severe drug resistance.