Artificial intelligence and machine learning for improving glycemic control in diabetes: best practices, pitfalls and opportunities
Objective: Artificial intelligence and machine learning are transforming many fields including
medicine. In diabetes, robust biosensing technologies and automated insulin delivery …
medicine. In diabetes, robust biosensing technologies and automated insulin delivery …
Examining the acute glycemic effects of different types of structured exercise sessions in type 1 diabetes in a real-world setting: the type 1 diabetes and exercise …
MC Riddell, Z Li, RL Gal, P Calhoun, PG Jacobs… - Diabetes …, 2023 - Am Diabetes Assoc
OBJECTIVE Maintenance of glycemic control during and after exercise remains a major
challenge for individuals with type 1 diabetes. Glycemic responses to exercise may differ by …
challenge for individuals with type 1 diabetes. Glycemic responses to exercise may differ by …
Data-based modeling for hypoglycemia prediction: Importance, trends, and implications for clinical practice
L Zhang, L Yang, Z Zhou - Frontiers in Public Health, 2023 - frontiersin.org
Background and objective Hypoglycemia is a key barrier to achieving optimal glycemic
control in people with diabetes, which has been proven to cause a set of deleterious …
control in people with diabetes, which has been proven to cause a set of deleterious …
Personalized blood glucose prediction for type 1 diabetes using evidential deep learning and meta-learning
The availability of large amounts of data from continuous glucose monitoring (CGM),
together with the latest advances in deep learning techniques, have opened the door to a …
together with the latest advances in deep learning techniques, have opened the door to a …
Integrating metabolic expenditure information from wearable fitness sensors into an AI-augmented automated insulin delivery system: a randomised clinical trial
Background Exercise can rapidly drop glucose in people with type 1 diabetes. Ubiquitous
wearable fitness sensors are not integrated into automated insulin delivery (AID) systems …
wearable fitness sensors are not integrated into automated insulin delivery (AID) systems …
Modeling risk of hypoglycemia during and following physical activity in people with type 1 diabetes using explainable mixed-effects machine learning
C Mosquera-Lopez, KL Ramsey… - Computers in Biology …, 2023 - Elsevier
Background Physical activity (PA) can cause increased hypoglycemia (glucose< 70 mg/dL)
risk in people with type 1 diabetes (T1D). We modeled the probability of hypoglycemia …
risk in people with type 1 diabetes (T1D). We modeled the probability of hypoglycemia …
On-body non-invasive glucose monitoring sensor based on high figure of merit (FoM) surface plasmonic microwave resonator
High-figure of merit (FoM) plasmonic microwave resonator is researched as a non-invasive
on-body sensor to monitor the human body's blood glucose variation rate in adults for …
on-body sensor to monitor the human body's blood glucose variation rate in adults for …
The type 1 diabetes and EXercise initiative: predicting hypoglycemia risk during exercise for participants with type 1 diabetes using repeated measures random forest
S Bergford, MC Riddell, PG Jacobs, Z Li… - Diabetes technology …, 2023 - liebertpub.com
Objective: Exercise is known to increase the risk for hypoglycemia in type 1 diabetes (T1D)
but predicting when it may occur remains a major challenge. The objective of this study was …
but predicting when it may occur remains a major challenge. The objective of this study was …
Multivariable automated insulin delivery system for handling planned and spontaneous physical activities
MR Askari, M Ahmadasas… - Journal of Diabetes …, 2023 - journals.sagepub.com
Background: Hybrid closed-loop control of glucose levels in people with type 1 diabetes
mellitus (T1D) is limited by the requirements on users to manually announce physical activity …
mellitus (T1D) is limited by the requirements on users to manually announce physical activity …
Quantifying insulin-mediated and noninsulin-mediated changes in glucose dynamics during resistance exercise in type 1 diabetes
Exercise can cause dangerous fluctuations in blood glucose in people living with type 1
diabetes (T1D). Aerobic exercise, for example, can cause acute hypoglycemia secondary to …
diabetes (T1D). Aerobic exercise, for example, can cause acute hypoglycemia secondary to …