Researchers have developed Delphi-2M, an artificial intelligence model that integrates electronic health records and lifestyle data to predict individual risks for more than 1,200 diseases decades in advance. Trained on data from 400,000 UK Biobank participants, the model employs a modified large language model architecture for multi-disease forecasting. Experts regard this as a breakthrough in personalized medicine, with potential clinical applications in early detection and prevention strategies across a broad disease spectrum.