
A new generative AI model predicts the risk and timing of over 1,000 diseases using large-scale health record data from the UK and Denmark.
Key Details
- 1The model was trained on anonymised data from 400,000 UK Biobank participants and validated on 1.9 million Danish registry patients.
- 2It leverages generative transformer techniques similar to those in large language models to process health event sequences.
- 3Excels at forecasting diseases with clear progression patterns (e.g., heart attacks, cancer); less effective for variable conditions.
- 4Produces probabilistic, population-level risk estimates rather than individual certainties; shorter-term forecasts are more reliable.
- 5Underrepresents childhood/adolescent events and some ethnic groups due to training data limitations.
- 6Not yet ready for clinical use, but helps study disease progression and simulate outcomes for research.
Why It Matters

Source
EurekAlert
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