---
tags:
  - iints/source
  - iints/source/model
source_id: "visentin_2018_uvapadova"
source_bucket: "packaged_evidence"
category: "model"
component: "simulation_validation"
url: "https://doi.org/10.1177/1932296818757747"
doi: "10.1177/1932296818757747"
status: active
---

# The University of Virginia/Padova Type 1 Diabetes Simulator Matches the 2014 DMMS.R

> [!info] What this source supports
> Reference for simulator validation methodology and in-silico credibility.

| Field | Value |
| --- | --- |
| Source ID | `visentin_2018_uvapadova` |
| Bucket | `packaged_evidence` |
| Category | `model` |
| SDK component | `simulation_validation` |
| DOI | 10.1177/1932296818757747 |
| URL | https://doi.org/10.1177/1932296818757747 |
| Origin file | `src/iints/presets/evidence_sources.yaml` |

## Citation

Visentin R, et al. J Diabetes Sci Technol. 2018;12(5):1074-1083.

## User Interpretation

Use this source to explain **why the SDK default, metric, dataset, or hardware-safety boundary exists**. It is evidence support for pre-clinical simulation and documentation, not a medical approval claim.
