AI models aim to predict future epidemics effectively

Researchers at Northeastern University are using artificial intelligence to predict future epidemics. A new paper co-authored by Samuel Scarpino outlines how AI can model infectious disease outbreaks before they happen. Scarpino emphasizes the need for new AI approaches to tackle the complex context of epidemics. Current models struggle with the vast amount of information required for accurate predictions. One major challenge is ensuring different types of data can work together effectively. This interoperability is crucial for improving understanding of both biological and societal networks.