A pre-clinical Edge-AI SDK for diabetes management validation.
Project description
IINTS-AF SDK
IINTS-AF is an open-source research SDK for diabetes technology simulation.
The SDK lets researchers, students, and developers test diabetes-algorithm ideas in a virtual environment. It can simulate digital patients, meals, insulin delivery, CGM/sensor behavior, safety checks, glucose-prediction experiments, and generated reports.
The purpose of IINTS-AF is to make algorithm behavior easier to inspect and discuss before anything is connected to a real person.
IINTS-AF is not a medical device. It must not be used for diagnosis, insulin dosing, treatment decisions, or real-time patient care.
Links
- Website: iints.org
- Documentation: python35.github.io/IINTS-SDK
- Desktop app downloads: latest beta
Desktop App
IINTS-AF also has a native desktop app for running demos and opening generated results without using many terminal commands. Windows and Linux beta builds use the richer Qt interface; the current macOS DMG uses a small native Cocoa fallback so it opens more reliably while the Mac Qt bundle is being hardened.
Current beta downloads:
| Platform | Download |
|---|---|
| Windows | .exe |
| macOS | .dmg |
| Linux | executable |
License
Apache-2.0 licensed, with legacy MIT notices where applicable.
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