It is the first method in the world for the rapid recognition of bacteria and fungi through images obtained under an optical microscope: once the microorganism has been isolated and photographed, a system that exploits neural networks and artificial intelligence answers within a minute. The work of Monika Brzychyczy-Woch and Bartosz Zielinski, professors at the Jagiellonian University in Krakow, has obtained patent protection in the EU: understanding in a short time what you are dealing with is essential, think of patients whose stage of infection requires a rapid diagnosis to immediately choose the right type of treatment.

The new technology uses deep neural networks and AI to support medical diagnostics, but it can also be applied in industry, food safety monitoring, or scientific research.

According to the researchers, the system can also successfully identify malaria protozoa. The University of Krakow wants to make this technology available for clinical use as soon as possible. The new technology is the result of almost ten years of interdisciplinary research led by the Department of Molecular Medical Biotechnology at JU Medical College. The pillars of this solution are optimized neural networks, which work on huge amounts of data.