Fluorescence-based Real-Time PCR (RT-PCR) is increasingly being used to detect multiple pathogens simultaneously and rapidly by gene expression analysis of PCR amplification data.

Bluewind and AB ANALITICA present here a stable and consistent alternative approach that is based on ML-machine learning for the definition and determination of CT values, dramatically decreasing overall rate of false detections.