AI tools being developed to enhance prediction and management of future pandemics

Researchers are currently developing AI tools to help predict and manage future pandemics, which some experts believe will likely within the next decade. Teams from UC Irvine and UCLΑ, part of the US National Science Foundation’s Predictive Intelligence for Pandemic Prevention grant programme, are working on an AI-based early warning system that analyses social media posts to detect early signs of outbreaks. They aim to track billions of posts on platforms like X (formerly Twitter) to identify public health trends and assess the potential outcomes of public health policies. However, the reliance on specific platforms and US-focused data limits its global application. Researchers are working to expand its reach.

Harvard Medical School and the University of Oxford have created a tool called EVEScape, which predicts virus mutations. This tool helps in developing vaccines and treatment strategies. Pharmaceutical companies such as AstraZeneca are also utilising AI to accelerate the discovery of antibodies, which could potentially reduce the response time to new viral threats. These initiatives demonstrate how AI can enhance pandemic response by providing faster and more accurate data for decision-making.

“Despite its potential, experts warn that the effectiveness of AI depends on the quality of the data it receives. Biases or misrepresentations in the data could lead to skewed results, and there are ethical and fairness concerns. Although AI can improve preparedness and response times, human judgement, trust, and collaboration are essential for effectively managing future pandemics.”