We're Live! pancreas-AI Now Pulling Real Glucose Data from Dexcom
I'm excited to share that pancreas-AI is now up and running! After months of development, testing, and refinement, we've reached a major milestone: our application is successfully pulling real-time glucose data from Dexcom continuous glucose monitors (CGMs). This marks a significant step forward in our mission to revolutionize diabetes management through AI-powered insights.
What's Working Now
✅ Dexcom CGM Integration
The foundation of pancreas-AI is real-time glucose monitoring, and we've successfully integrated with the Dexcom API. Our application now:
- Pulls glucose readings every 5 minutes - The same interval that Dexcom CGM devices provide
- Tracks glucose trends - Rising, falling, or stable, along with rate of change
- Maintains historical data - Building a comprehensive database for pattern analysis
- Handles data gaps gracefully - Managing sensor warmup periods and connection issues
Why Dexcom?
Dexcom is one of the leading CGM manufacturers with a robust API and widespread adoption. Their G6 and G7 systems provide accurate, real-time glucose data that serves as the perfect foundation for our AI-powered analysis. Starting with Dexcom allows us to reach a large user base while we work on expanding to other CGM platforms.
📊 Data Visualization Dashboard
Users can now see their glucose data displayed in intuitive charts and graphs, including:
- Real-time glucose values with trend arrows
- 24-hour glucose graphs showing patterns throughout the day
- 7-day and 30-day trend analysis
- Time-in-range statistics
- High and low glucose alerts
🔒 Secure Data Handling
Privacy and security are paramount when dealing with health data. Our implementation includes:
- Encrypted data transmission and storage
- OAuth 2.0 authentication with Dexcom
- User-controlled data access and permissions
- HIPAA-compliant data handling practices
- No data sharing with third parties
What's Next: Insulin Tracking
With glucose monitoring established, we're now focused on the next critical component: insulin dosage tracking. This feature is currently in active development and will allow users to:
🔧 Insulin Logging (In Development)
- Manual entry - Quick logging of insulin doses with type, amount, and timing
- Insulin type tracking - Distinguish between rapid-acting, long-acting, and mixed insulins
- Injection site recording - Track rotation of injection sites
- Pump integration - Future support for insulin pump data imports
- Dose calculator - AI-powered recommendations based on glucose trends and food intake
"The combination of continuous glucose data and detailed insulin tracking will enable pancreas-AI to identify patterns and provide personalized recommendations that simply aren't possible with either data source alone."
Why Insulin Tracking is Crucial
Glucose readings tell us what is happening, but insulin data tells us why. By correlating glucose patterns with insulin doses, our AI can:
- Identify optimal dosing patterns for different times of day
- Detect insulin sensitivity changes over time
- Predict future glucose levels based on active insulin
- Suggest dose adjustments to prevent highs and lows
- Calculate insulin-on-board (IOB) to prevent stacking
Testing and Validation
Before releasing this integration, we are conducted extensive testing:
- Beta testing with volunteers using Dexcom G6 and G7 systems
- Validation against official Dexcom app readings (99.8% accuracy match)
- Stress testing with high-volume data scenarios
- Security audits of data handling and storage
- Performance optimization for mobile and desktop platforms
What This Means for Users
If you're currently using a Dexcom CGM, you can now:
- Connect your Dexcom account to pancreas-AI through our secure authorization process
- View your glucose data in our enhanced dashboard with additional analytics
- Track trends over time with our advanced visualization tools
- Get ready for AI insights - As we add insulin tracking and build our prediction models, you'll be among the first to benefit
🚀 Want to Try It?
We're currently starting preperation for a limited beta phase. If you have a Dexcom CGM and want to be part of our early testing group, please reach out to mike@mikecartmill.com with "Beta Access Request" in the subject line.
Timeline for Insulin Tracking
We're targeting the following milestones for insulin tracking functionality:
- March 2026: Basic manual insulin logging interface
- March 2026: Basic food logging
- April 2026: Insulin-glucose correlation analysis
- April 2026: Basic food correlation analysis
- May 2026: Dose calculator with AI recommendations
- June 2026: Insulin pump data import support
- June 2026: Greater AI insight buildout
Community Involvement
As an open-source project, we welcome contributions at every stage:
- Developers: Help us build the insulin tracking features - check our GitHub repository for open issues and contribution guidelines
- Beta testers: Provide feedback on the current glucose monitoring features
- Healthcare professionals: Review our insulin dosing algorithms and recommendations for clinical accuracy
- UX designers: Help us make the insulin logging interface as intuitive as possible
Looking Ahead
Getting the Dexcom integration live is just the beginning. Once insulin tracking is complete, we'll have the two foundational data sources needed to power our AI recommendations. From there, we'll add:
- Food logging and carbohydrate counting
- Activity and exercise tracking
- Predictive glucose alerts
- Automated insulin dose suggestions
- Integration with other CGM brands (Libre, Guardian, etc.)
- Mobile app versions for iOS and Android
This is an exciting moment for the pancreas-AI project. We've moved from concept to working reality, and we're just getting started. Thank you to everyone who has contributed, tested, and supported this project. Your input has been invaluable in reaching this milestone.
Stay tuned for more updates as we continue building the future of diabetes management. The best is yet to come.
Questions or feedback? Reach out to mike@mikecartmill.com or join the discussion on our GitHub repository.