Peer-reviewedCC BYFrontiers in endocrinology
Distinct insulin sensitivity profiles revealed by clustering based on continuous glucose monitoring data in people living with type 1 diabetes
5 affiliations
- 1Research Institute of Pauls Stradins Clinical University Hospital , ,
- 2Institute of Applied Computer Systems, Riga Technical University , ,
- 3Faculty of Medicine and Life Sciences, University of Latvia , ,
- 4Institute of Human Movement Science, Sport & Health, Exercise Physiology, Training & Training Therapy Research Group, University of Graz , ,
- 5Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Medical University of Graz , ,
Related
- Machine learning clustering of multidimensional clinical features identifies four prognostically distinct sepsis subtypes
- Biologically informed network-regularized sparse consensus clustering (BioNet-SPACC) identifies a continuous plasma proteomic axis in major depressive disorder
- Multimodal data-driven clustering analysis of heart failure patients identifies two distinct patterns of heart failure with preserved ejection fraction: Results from the PACIFIC-PRESERVED study
- Distinct Liver Enzyme Profiles in Non-Diabetic Obesity: Associations with Obesity Severity and Metabolic Dysfunction
- Do strategically demanding sports shape hand function alike? Distinct profiles of dexterity and grip strength in basketball and badminton athletes
BibTeX
@article{kistkins2026distinct,
title = {{Distinct insulin sensitivity profiles revealed by clustering based on continuous glucose monitoring data in people living with type 1 diabetes}},
author = {Svjatoslavs Kistkins and Anastasija Luganceva and Sergejs Lobanovs and Timurs Mihailovs and Aleksejs Fedulovs and Leonora Pahirko and Valdis Pīrāgs and Othmar Moser and Harald Sourij and Jelizaveta Sokolovska and Dmitrijs Bliznuks},
journal = {Frontiers in endocrinology},
year = {2026},
month = oct,
url = {https://europepmc.org/article/PMC/PMC13654712},
note = {CC BY},
}
RIS
TY - JOUR
TI - Distinct insulin sensitivity profiles revealed by clustering based on continuous glucose monitoring data in people living with type 1 diabetes
AU - Svjatoslavs Kistkins
AU - Anastasija Luganceva
AU - Sergejs Lobanovs
AU - Timurs Mihailovs
AU - Aleksejs Fedulovs
AU - Leonora Pahirko
AU - Valdis Pīrāgs
AU - Othmar Moser
AU - Harald Sourij
AU - Jelizaveta Sokolovska
AU - Dmitrijs Bliznuks
PY - 2026
DA - 2026/10/16
JO - Frontiers in endocrinology
UR - https://europepmc.org/article/PMC/PMC13654712
SN - 1664-2392
ER -