iints-sdk-python35 1.5.2

A pre-clinical Edge-AI SDK for diabetes management validation.

IINTS-AF SDK

One platform for insulin-algorithm research.

IINTS-AF combines three layers in one SDK:

• Simulate insulin algorithms on virtual patients
• Certify the data and outputs with built-in trust grading
• Understand results with reports, posters, and local AI review

Docs: python35.github.io/IINTS-SDK

Install

python3 -m venv .venv
source .venv/bin/activate
python -m pip install -U pip
python -m pip install -U "iints-sdk-python35[full,mdmp]"

For Raspberry Pi or UNO Q edge rigs, use iints-sdk-python35[edge,mdmp] and follow docs/EDGE_HARDWARE.md.

Edge workflow:

iints edge setup --output-dir iints_edge_demo --board raspberry_pi
iints edge status --workspace iints_edge_demo/patient_runtime
iints edge bundle --workspace iints_edge_demo/patient_runtime --output results/edge_runtime_bundle.zip

Sanity check:

iints doctor --smoke-run

Quick Flow

iints quickstart --project-name iints_quickstart
cd iints_quickstart
iints presets run --name baseline_t1d --algo algorithms/example_algorithm.py
iints data certify contracts/clinical_mdmp_contract.yaml results/<run_id>/results.csv --output-json results/<run_id>/certification.json
iints ai report results/<run_id>

Read Next

• Start here: docs/GETTING_STARTED.md
• Installation and paths: docs/INSTALLATION.md
• Edge hardware profiles: docs/EDGE_HARDWARE.md
• Raspberry Pi digital patient: docs/DIGITAL_PATIENT_PI.md
• Study analysis: docs/STUDY_ANALYSIS.md
• AI assistant: docs/AI_ASSISTANT.md
• Data certification: docs/MDMP_QUICKSTART.md
• Full manual: docs/manuals/IINTS-AF_SDK_Manual.md

Important

IINTS-AF is research software. It is not a medical device and does not provide clinical treatment advice.