Week 13 - Longitudinal AI

Required Reading

• Learning the natural history of human disease with generative transformers
• A foundation model for continuous glucose monitoring data

Optional Reading

• Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals
• Longitudinal machine learning uncouples healthy aging factors from chronic disease risks
• Temporal disease trajectories condensed from population-wide registry data covering 6.2 million patients
• Deep Patient: An unsupervised representation to predict the future of patients from the electronic health records
• UniTS: A unified multi-task time series model