Unlocking the potential of wastewater data in infectious disease surveillance
In the wake of a staggering winter where nearly 40%1 of U.S. households were confronted with either COVID-19, influenza, or RSV, the importance of early detection and robust monitoring systems cannot be overstated. Join BlueDot for an illuminating exploration into the...
Combatting mosquito-borne diseases with AI: Innovations in global health intelligence
Join BlueDot for a ground-breaking webinar where we delve deep into the dynamic landscape of mosquito-borne diseases, exploring the latest trends and impacts on a global scale. BlueDot’s expert panel will unveil the abnormal activities observed in mosquito-borne...
This AI will help us get ahead of the next pandemic
It seems appropriate that the Toronto offices for Kamran Khan’s BlueDot, which uses artificial intelligence to flag potential infectious disease outbreaks around the world, are located at the edge of Lake Ontario. Similar to a lighthouse, BlueDot signals when there’s danger ahead. BlueDot’s intelligence platform combines a computer’s ability to understand human language, known as natural language understanding (NLU), and machine learning, a form of AI that imitates humans’ ability to learn and gradually become more accurate. The platform sorts through massive volumes of online information— ranging from news reports, social media sites, government websites, and more — from around the globe, in over 130 languages, every 15 minutes of every day.