AI-Driven At-Home Tick Testing Offers New Insights into Lyme Disease Risk
A new at-home testing method for ticks, developed by Dawicki and her team, allows individuals to determine if a tick carries the bacteria responsible for Lyme disease. This innovation is part of a broader effort to use AI to predict tick population movements and their potential to carry Borrelia bacteria. The team is also working on creating hotspot maps that could inform the public about Lyme disease risks based on climate, humidity, and tick migration patterns. Additionally, the company plans to expand testing to include other pathogens like those causing Rocky Mountain Spotted Fever and molecules that can trigger alpha-gal syndrome, an allergic reaction. The goal is to develop multiplex test strips capable of detecting multiple pathogens simultaneously. 
