Along with the advent of the OpenAPS Data Commons for individuals to donate their data anonymously to research, the community is collaborating with various researchers on numerous research projects.
Example projects that are using the OpenAPS Data Commons:
- A retrospective outcomes study with Johns Hopkins (IRB00121066) was completed in 2018. You can see the results from the study on the outcomes page; or in more detail written up by Dana here.
- A predictive algorithm comparison study with Stanford (e-protocol #40306) has been completed, and is pending being written up for publication.
- An analyses of sensitivity changes for individuals (using retrospective autosensitivity methods) was completed in 2018 and also presented. The poster is written up here; and in more detail here.
- In 2019, data from the OpenAPS Data Commons was used to look at biological rhythms in type 1 diabetes. The poster is written up in detail here.
- Also in 2019, data from the OpenAPS Data Commons was used in Melmer et al’s publication on a retrospective analysis of n=80 with 19,495 days worth of CGM data. See: “Glycemic Control in Individuals with Type 1 Diabetes Using an Open Source Artificial Pancreas System (OpenAPS)” in Diabetes, Obesity and Metabolism (2019). doi:10.1111/dom.13810
Additional studies from or about the OpenAPS community are described on the Outcomes page.
Are you interested in doing research in partnership with the OpenAPS community? Contact dana(AT)OpenAPS.org