Team: Vectech | Origin: Maryland | Participation: NSF I-Corps Participant, 2020
Vectech is a Johns Hopkins University spinout that has built Identification-X (IDX), the world's first AI-enabled medical entomology system. Vectech supports public health organizations by providing AI-powered identification of mosquitoes, ticks and other potential disease-carrying insects (vectors). In less than a day of training, IDX can equip a user with the diagnostic identification capabilities of a professional entomologist. This is achieved through advancements in computer vision and image recognition software that automate vector species identification, specimen counting and digital recording for rapid reporting of vector surveillance data.
The IDX system scans specimen slides, capturing the unique visual characteristics that differentiate species. These images are processed through AI algorithms trained on an extensive image database of labeled specimens using machine learning techniques like convolutional neural networks.
By providing AI-enabled entomology, Vectech makes advanced vector identification accessible to small public health organizations that may lack expert entomologists while also enhancing the efficiency of high-throughput laboratories. This innovation streamlines vector surveillance operations and research, accelerating the ability of public health organizations to monitor and respond to disease threats. As a result, Vectech's partners save time and money and can adapt quickly to evolving vector management needs.
