Enhancing Insulin Delivery in Type 1 Diabetes with the Detection of Insulin Flow Interruption
Bibliographic record
Abstract
This work focuses on the efficient regulation of blood glucose (BG) in people with Type 1 Diabetes (T1D) by means of automated subcutaneous insulin delivery through a pump, which is essential to mimic the real-life functioning of a healthy pancreas and improve the quality of life for patients. In particular, this research addresses one of the bottlenecks in insulin pump therapy, namely the detection of insulin infusion occlusions and consequent interruption of the flow of insulin into the portal circulation, before the degradation of glucose control can be measured. We exploit a digital twin of a mechanical pump and incorporate it in a large scale metabolic model of T1D glucose dynamics. Our failure detection algorithms is based on the displacement of the pump’s piston after an injection of insulin. We test our approach in simulation showing promising results for the early detection of insulin flow interruptions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".