Identifying and Intervening on Glucose Patterns in Multivariate Data Using Block-Based Recurrence Quantification Analysis
Authors' conclusion
The BlockRQA is a powerful pattern recognition tool that may be used to identify glucose outcome patterns to guide AID dosing.
Study context
- Population
- Individuals with T1D using an AID system
Methodological detailsoutpatient pilot feasibility study, interim safety analysis
- Outpatient pilot feasibility study
- Interim safety analysis
Main finding
As reported in the abstract
- BlockRQA+AID can improve glucose outcomes in patterns leading to hyperglycemia in silico
- Real-world use of BlockRQA+AID to reduce hyperglycemic events (>250 mg/dL), small outpatient pilot
- BlockRQA efficiently identifies, aggregates and scores behavioral patterns targetable for clinical intervention
- Interim safety analysis
Original publication
Identifying and Intervening on Glucose Patterns in Multivariate Data Using Block-Based Recurrence Quantification Analysis. J Diabetes Sci Technol. Published 1 November 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →