Development of software for automated antibiotic resistance identification

Important results from the project

The project aims to further develop the calScreenerTM analysis software calViewTM, for automatic identification of resistance levels and synergy effects for various antibiotic combinations in the treatment of bacterial infections. Automation avoids subjective result analysis and thus achieves a higher clinical reproducibility. The project has enabled calViewTM to be taken to the next level, where it now has integrated algorithms and thus the functions for calculating resistance and synergy ID.

Expected long term effects

To determine combination treatments with antibiotics, a very difficult and time-consuming empirical puzzle is built today. With calScreener and an automated calView analysis, rapid and precise identification of antibiotic combinations suitable for clinical use is made possible. Thanks to the integrated algorithms for resistance and synergy, the exact answers required for clinical applicability are now obtained and the software now under evaluation within a clinical verification study.

Approach and implementation

The development was planned in two parts: i) set the right analysis algorithms for resistance and synergy ID and ii) to productify the software, suitable for clinical laboratories. Stable analysis algorithms were successfully developed and integrated. We now have a fully functioning software where resistance and synergy can be determined simply and precisely.