Scientists have unveiled Delphi-2M, an AI model capable of predicting over 1000 diseases with a 10-year forecast horizon. Developed by experts from the European Molecular Biology Laboratory, the German Cancer Research Center, and the University of Copenhagen, the model was trained using anonymized data from 400,000 UK Biobank participants and 1.9 million patients from Denmark's national registry. Delphi-2M provides health risk assessments in percentage terms, akin to weather forecasts, and can predict conditions such as cancer, diabetes, and cardiovascular diseases. The AI tool is poised to offer personalized health risk evaluations and recommendations, with its accuracy on par with existing disease-specific models. This advancement marks a significant step forward in personalized medicine, potentially transforming how patients and healthcare providers approach disease prevention and management.