AI tool predicts risk of over 1,000 diseases years ahead
Researchers unveil AI tool that forecasts cancer, diabetes, and heart disease more than a decade before diagnosis.
Scientists have unveiled an AI tool capable of predicting the risk of developing over 1,000 medical conditions. Published in Nature, the model can forecast certain cancers, heart attacks, and other diseases more than a decade in advance.
Developed by the German Cancer Research Centre (DKFZ), the European Molecular Biology Laboratory (EMBL), and the University of Copenhagen, the model utilises anonymised health data from the UK and Denmark. It tracks the order and timing of medical events to spot patterns that lead to serious illness.
Researchers said the tool is exceptionally accurate for diseases with consistent progression, including some cancers, diabetes, heart attacks, and septicaemia. Its predictions work like a weather forecast, indicating higher risk rather than certainty.
The model is less reliable for unpredictable conditions such as mental health disorders, infectious diseases, or pregnancy complications. It is more accurate for near-term forecasts than for those decades ahead.
Though not yet ready for clinical use, the system could help doctors identify high-risk patients earlier and enable more personalised, preventive healthcare strategies. Researchers say more work is needed to ensure the tool works for diverse populations.
Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!
