ClinicalTrials.gov
public full text
Public Domain
Continuous Glucose Monitoring (CGM) in Prediabetes With Community Based Recruitment
The objective of this project is to develop a behavioral intervention that combines wearable continuous glucose monitoring (CGM) with smartphone feedback and educational video clips generated by artificial intelligence (AI) software to improve glycemic control among individuals with pre-diabetes. The goal is to prevent transition to type 2 diabetes (T2D).
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Periodic Use of Continuous Glucose Monitoring With Personalized Diet Interventions Using AI Camera Among Non-insulin Treated Type 2 Diabetes#1112912
- Continuous Glucose Monitoring in Diabetes and Prediabetes#875667
- Tolerability, Acceptance, and Utility of Intermittent CGM Use in Youth With Prediabetes#830664
- Pilot-Testing Real-Time Engagement for Learning to Effectively Control Type 2 Diabetes#883037
- CONtiNuous glucosE Monitoring (CGM) in People wiTh Type 2 Diabetes Not on Insulin#1113733
Record · ID 874177
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive