«These findings, published in peer-reviewed, scientific journal ACS Nano, demonstrate how machine learning can improve the efficiency, accuracy and time taken to identify different types of viruses and differentiate between strains. This could help better control the spread of respiratory infections and alleviate pressure on the NHS and healthcare staff whilst reducing medical waste.»

«Shiaelis and Robb collaborated with the John Radcliffe Hospital to evaluate a new method that uses AI software to identify viruses. The testing technology combines molecular labelling, computer vision and machine learning to create a universal diagnostic imaging platform that looks directly at a patient sample and can identify which pathogen is present in a matter of seconds. Much like facial recognition software, but for germs.»

Article written by Med Tech News



Med Tech News