Aaron Kowalski
Overview
Explore the profile of Aaron Kowalski including associated specialties, affiliations and a list of published articles.
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Snapshot
Articles
15
Citations
2794
Followers
0
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Recent Articles
1.
Phillip M, Kowalski A, Battelino T
Nat Med
. 2024 Mar;
30(5):1232-1234.
PMID: 38448742
No abstract available.
2.
Phillip M, Nimri R, Bergenstal R, Barnard-Kelly K, Danne T, Hovorka R, et al.
Endocr Rev
. 2022 Sep;
44(2):254-280.
PMID: 36066457
The significant and growing global prevalence of diabetes continues to challenge people with diabetes (PwD), healthcare providers, and payers. While maintaining near-normal glucose levels has been shown to prevent or...
3.
Battelino T, Danne T, Bergenstal R, Amiel S, Beck R, Biester T, et al.
Diabetes Care
. 2019 Jun;
42(8):1593-1603.
PMID: 31177185
Improvements in sensor accuracy, greater convenience and ease of use, and expanding reimbursement have led to growing adoption of continuous glucose monitoring (CGM). However, successful utilization of CGM technology in...
4.
Latres E, Finan D, Greenstein J, Kowalski A, Kieffer T
Cell Metab
. 2019 Mar;
29(3):545-563.
PMID: 30840911
Incredible strides have been made since the discovery of insulin almost 100 years ago. Insulin formulations have improved dramatically, glucose levels can be measured continuously, and recently first-generation biomechanical "artificial...
5.
Bergenstal R, Beck R, Close K, Grunberger G, Sacks D, Kowalski A, et al.
Diabetes Care
. 2018 Dec;
42(2):e29-e30.
PMID: 30559104
No abstract available.
6.
Glucose Management Indicator (GMI): A New Term for Estimating A1C From Continuous Glucose Monitoring
Bergenstal R, Beck R, Close K, Grunberger G, Sacks D, Kowalski A, et al.
Diabetes Care
. 2018 Sep;
41(11):2275-2280.
PMID: 30224348
While A1C is well established as an important risk marker for diabetes complications, with the increasing use of continuous glucose monitoring (CGM) to help facilitate safe and effective diabetes management,...
7.
Barnard K, Ziegler R, Klonoff D, Braune K, Petersen B, Rendschmidt T, et al.
J Diabetes Sci Technol
. 2018 Aug;
12(6):1223-1226.
PMID: 30079769
Biomedical outcomes for people with diabetes remain suboptimal for many. Psychosocial care in diabetes does not fare any better. "Artificial pancreas" (also known as "closed-loop" and "automated insulin delivery") systems...
8.
Danne T, Nimri R, Battelino T, Bergenstal R, Close K, DeVries J, et al.
Diabetes Care
. 2017 Nov;
40(12):1631-1640.
PMID: 29162583
Measurement of glycated hemoglobin (HbA) has been the traditional method for assessing glycemic control. However, it does not reflect intra- and interday glycemic excursions that may lead to acute events...
9.
Riddell M, Gallen I, Smart C, Taplin C, Adolfsson P, Lumb A, et al.
Lancet Diabetes Endocrinol
. 2017 Jan;
5(5):377-390.
PMID: 28126459
Type 1 diabetes is a challenging condition to manage for various physiological and behavioural reasons. Regular exercise is important, but management of different forms of physical activity is particularly difficult...
10.
Weissberg-Benchell J, Hood K, Laffel L, Heinemann L, Ball D, Kowalski A, et al.
J Diabetes Sci Technol
. 2015 Dec;
10(3):799-801.
PMID: 26645792
The INSPIRE study working group launched its initial workshop in February 2015 to facilitate collaboration among key stakeholders interested in automated insulin delivery (AID) systems and the psychosocial outcomes of...