Cyclic dual latent discovery for improved blood glucose prediction through patient–provider interaction modeling: a prediction study

Integrating patient-provider interaction modeling into predictive frameworks can increase blood glucose prediction accuracy. The CDLD model offers a novel approach to diabetes management, potentially paving the way for artificial intelligence-driven personalized treatment strategies.