Project Uses AI, Machine Learning to Validate Cyclospora Inactivation Methods
Scott Lenaghan, Ph.D., University of Tennessee, is enlisting artificial intelligence and machine learning to speed the detection of the infectious life stage of Cyclospora cayetanensis.
“Right now, the only way to know whether it’s viable is a sporulation assay,” he said. “You have to determine that they have sporulated, and the whole process is labor intensive.”