Sensor Using Neural Networks Detects Antibiotic Resistance in Bacteria

A collaborative effort by researchers from Tomsk Polytechnic University and Siberian State Medical University, along with colleagues from the Czech Republic, produced a sensor that leverages neural networking to detect bacterial resistance to antibiotics. The findings appeared in a peer reviewed journal, Analytica Chimica Acta. The project focused on building a device capable of performing a spectral analysis of a given sample, processing the resulting data with a neural network, and delivering a clear verdict about the sample’s genetic content. The system can indicate whether a resistance gene is present or absent, whether the sample is not a DNA construct, or whether additional data is required to reach a conclusion, all with a predefined accuracy level.