Research output per year
Research output per year
Project Details
Description
Adherence inhibits most T2D patients from reaching treatment targets. This impacts health, quality of life and cost society. To support care teams and empower patients to self-manage, we integrate data from continuous glucose monitors, connected insulin pens and activity trackers and provide real-time, personalised treatment guidance, data-derived insights, hypoglycemia warnings and dose reminders. Methods include large-scale data collection, development of a high-fidelity T2D model and required algorithms, and clinical feasibility testing of the full solution in a telemedicine context.
The consortium consists of:
Aalborg University
Steno Diabetes Center North Denmark
Steno Diabeter Center Zealand
Novo Nordisk
Glooko
Denmarks Technical University
University of Cambridge
The consortium consists of:
Aalborg University
Steno Diabetes Center North Denmark
Steno Diabeter Center Zealand
Novo Nordisk
Glooko
Denmarks Technical University
University of Cambridge
| Acronym | ADAPT-T2D |
|---|---|
| Status | Active |
| Effective start/end date | 01/12/2019 → 30/10/2025 |
Collaborative partners
- Novo Nordisk Foundation
- Steno Diabetes Center North Denmark
- Steno Diabetes Center Sjaelland, Akacievej 7, DK-4300, Holbaek, Denmark.
- Technical University of Denmark
- Line Systems ApS
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Impacts
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Greater quality of life for diabetics via warnings
Jensen, M. H. (Participant)
Impact: Quality of life impact
Research output
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Modeling the fasting blood glucose response to basal insulin adjustment in type 2 diabetes: An explainable machine learning approach on real-world data
Thomsen, C. H. N., Kronborg, T., Hangaard, S., Vestergaard, P., Hejlesen, O. & Jensen, M. H., Mar 2025, In: International Journal of Medical Informatics. 195, 105758.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile -
Effectiveness and safety of telemonitoring compared with usual care in people with type 2 diabetes treated with insulin: preliminary results from a national multicentre randomised controlled trial
Hangaard, S., Kronborg, T., Cohen, S., Kofoed-Enevoldsen, A., Rasmussen, M., Pedersen, L., Thomsen, C., Aradottir, T., Kristensen, S., Kaas, A., Bengtsson, H., Dethlefsen, C., Hejlesen, O., Vestergaard, P. & Jensen, M., Sept 2024, In: Diabetologia. 67, Suppl. 1, p. S405 1 p., 846.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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Intelligent Diabetes Telemonitoring for Patients on Insulin Therapy: A Randomized Controlled Trial Protocol
Thomsen, C. H. N., Nørlev, J. T. D., Hangaard, S., Jensen, M. H., Kristensen, S. N. S., Aradóttir, T. B., Vestergaard, P., Hejlesen, O. & Kronborg, T., 22 Aug 2024, Digital Health and Informatics Innovations for Sustainable Health Care Systems. IOS Press, Vol. 316. p. 1737-1738 2 p. (Studies in Health Technology and Informatics , Vol. 316).Research output: Contribution to book/anthology/report/conference proceeding › Book chapter › Research › peer-review
Open AccessFile16 Downloads (Pure)
Press/Media
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Gennemskuelig kunstig intelligens skal advare diabetikere om insulinføling
Kronborg, T., Hejlesen, O. & Jensen, M. H.
04/01/2022
1 item of Media coverage
Press/Media: Press / Media
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Gennemskuelig kunstig intelligens skal advare diabetikere om insulinføling
Kronborg, T., Hejlesen, O. & Jensen, M. H.
10/12/2021
1 item of Media coverage
Press/Media: Press / Media