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 …
Electrochemical glucose sensors and their applications in diabetes management
A Heller, B Feldman - Chemical reviews, 2008 - ACS Publications
About 6,000 peer reviewed articles have been published on electrochemical glucose assays
and sensors, of which 700 were published in the 2005–2006 two-year period. Their number …
and sensors, of which 700 were published in the 2005–2006 two-year period. Their number …
[PDF][PDF] ISPAD Clinical Practice Consensus Guidelines 2018: Glycemic control targets and glucose monitoring for children, adolescents, and young adults with diabetes
This is the author's manuscript of the article published in final edited form as: DiMeglio, LA,
Acerini, CL, Codner, E., Craig, ME, Hofer, SE, Pillay, K., & Maahs, DM (2018). ISPAD Clinical …
Acerini, CL, Codner, E., Craig, ME, Hofer, SE, Pillay, K., & Maahs, DM (2018). ISPAD Clinical …
Convolutional recurrent neural networks for glucose prediction
Control of blood glucose is essential for diabetes management. Current digital therapeutic
approaches for subjects with type 1 diabetes mellitus such as the artificial pancreas and …
approaches for subjects with type 1 diabetes mellitus such as the artificial pancreas and …
A personalized healthcare monitoring system for diabetic patients by utilizing BLE-based sensors and real-time data processing
Current technology provides an efficient way of monitoring the personal health of
individuals. Bluetooth Low Energy (BLE)-based sensors can be considered as a solution for …
individuals. Bluetooth Low Energy (BLE)-based sensors can be considered as a solution for …
Assessment and monitoring of glycemic control in children and adolescents with diabetes
[en] The article presents a chapter of the guidelines on pediatric diabetes in the International
Society for Pediatric and Adolescent Diabetes (ISPAD) Clinical Practice Consensus …
Society for Pediatric and Adolescent Diabetes (ISPAD) Clinical Practice Consensus …
GluNet: A deep learning framework for accurate glucose forecasting
For people with Type 1 diabetes (T1D), forecasting of blood glucose (BG) can be used to
effectively avoid hyperglycemia, hypoglycemia and associated complications. The latest …
effectively avoid hyperglycemia, hypoglycemia and associated complications. The latest …
Carbon nanotube fiber-based flexible microelectrode for electrochemical glucose sensors
Electrochemical sensors are gaining significant demand for real-time monitoring of health-
related parameters such as temperature, heart rate, and blood glucose level. A fiber-like …
related parameters such as temperature, heart rate, and blood glucose level. A fiber-like …
Diabetes: models, signals, and control
The control of diabetes is an interdisciplinary endeavor, which includes a significant
biomedical engineering component, with traditions of success beginning in the early 1960s …
biomedical engineering component, with traditions of success beginning in the early 1960s …
Blood glucose prediction with variance estimation using recurrent neural networks
J Martinsson, A Schliep, B Eliasson… - Journal of Healthcare …, 2020 - Springer
Many factors affect blood glucose levels in type 1 diabetics, several of which vary largely
both in magnitude and delay of the effect. Modern rapid-acting insulins generally have a …
both in magnitude and delay of the effect. Modern rapid-acting insulins generally have a …