New diagnostic platform uses nanotechnology and machine learning to identify infectious diseases quickly

Infectious diseases and respiratory infections in particular are a leading cause of global mortality. As such, there is an urgent need for rapid, large-scale diagnostic tools that can detect these diseases early, something which doesn’t currently exist. To address these problems, McGill University Professor of Bioengineering Sara Mahshid’s lab has developed an all-in-one detection platform (QolorEX) that can deliver test results in just 13 minutes. For use in locations where people congregate, such as hospitals, schools, and airports, the tests are conducted by taking a saliva sample (no swabs needed) and transferring it to a microfluid device which then uses machine learning to automatically take microscopic images of the sample. Those images are sent to a cellphone application that decodes the data into a test result. “Because we will likely see more pandemics in the future, our lab aims to build portable, low-cost technologies with practical clinical results for use in low-resource...