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New AI model could predict risk of disease a decade before symptoms

  • Researchers created an AI system called Delphi-2M that analyzes extensive medical records to estimate an individual’s risk and likely onset period for more than a thousand different health conditions, with predictions extending up to two decades into the future.
  • This model was developed through a joint effort involving leading research institutions in Europe, including centers specializing in molecular biology, cancer research, and academia, to tackle the challenges posed by increasing chronic diseases and aging demographics.
  • Delphi-2M was trained on anonymized medical data from 400,000 UK Biobank participants and tested on 1.9 million Danish patients, showing well-calibrated risk estimates but still needing further testing before clinical use.
  • Prof Ewan Birney described their AI model as a demonstration that AI can learn long-term health patterns to make meaningful predictions, while Prof Moritz Gerstung highlighted that this approach represents an important advancement in exploring how diseases develop and progress, potentially enabling more personalized and preventative healthcare strategies.
  • The model's forecasts could enable earlier personalized interventions and healthcare planning, though psychological effects on patients and ethical considerations require careful assessment before adoption.
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Lean Left

Estimating how human health changes over time, predicting the risk of developing over 1,000 different diseases, answering the question of which diseases will be met in the next 20 years. It is the perspective offered by the new model of Artificial Intelligence called Delphi-2M, obtained with the research conducted by the European Laboratory of Molecular Biology (Embl) and the German Center for Cancer Research (Dkfz), which trained the model with…

·Rome, Italy
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Lean Right

Trained with data from 400,000 Britons and validated in almost 2 million Danes, the tool, presented in a ‘Nature’ study, can anticipate risks of more than 1,000 pathologies and simulate health evolution over two decades Read

·Madrid, Spain
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Nature broke the news in United Kingdom on Wednesday, September 17, 2025.
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