Advancing Healthcare with AI-Predicted Disease Risks

AI system Delphi-2M predicts health risks for 1,000+ conditions up to 20 years ahead.
Developed by European research institutions in molecular biology and cancer science.
Trained on 400,000 UK Biobank records and tested on 1.9 million Danish patients.
Risk estimates are well-calibrated but require further testing for clinical use.
Prof Ewan Birney highlights AI's ability to learn long-term health patterns.
Prof Moritz Gerstung calls it a breakthrough for disease progression research.
Model could enable earlier personalized healthcare interventions.
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