Enhancing the Capabilities of Continuous Glucose Monitoring With a Predictive App
The consistency of the performance of the three predictive models when evaluated on different cohorts of subjects with T1D and T2D on different insulin therapies, including real-world data, offers reassurance for real-world efficacy.
Authors
- Pau Herrero
- Eemeli Leppäaho (ORCID: https://orcid.org/0000-0003-1100-777X)
- Yannick Klopfenstein (ORCID: https://orcid.org/0000-0002-1879-6321)
- Christian Ringemann
- Magí Andorrà (ORCID: https://orcid.org/0000-0002-0491-3144)
- Matthias Koehler
- P Lustenberger
- Timor Glatzer (ORCID: https://orcid.org/0009-0009-5644-2098)
- Nils Babion
- Ajandek Peak
- Hendericus Bos
Institutions
- IBM (Germany) (DE)
- IBM Research - Zurich (CH)
- Roche (Spain) (ES)
Publication Details
- Journal
- Journal of Diabetes Science and Technology
- Published
- 2024-08-19
- DOI
- https://doi.org/10.1177/19322968241267818
- Citations
- 26
- Primary Topic
- Diabetes Management and Research
- Type
- article
- Field-Weighted Citation Impact
- 9.30
Funders
- Roche Diabetes Care