Development and validation of a two-stage machine learning model for personalised type 2 diabetes screening in the All of Us Research Program and UK Biobank

Key Points

• The machine learning model supports personalised screening for type 2 diabetes, enhancing early risk identification.
• Performance was robust across diverse cohorts, indicating its potential effectiveness in different populations.
• The model integrates genetic and clinical information, providing a comprehensive approach to screening.
• This work highlights the importance of personalised health interventions, with potential impacts on diabetes management.