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Artificial intelligence biosensors for continuous glucose monitoring
X **, A Cai, T Xu, X Zhang - Interdisciplinary Materials, 2023 - Wiley Online Library
Artificial intelligence (AI) algorithms in combination with continuous monitoring technologies
have the potential to revolutionize chronic disease management. The recent innovations in …
have the potential to revolutionize chronic disease management. The recent innovations in …
Glucose transformer: Forecasting glucose level and events of hyperglycemia and hypoglycemia
SM Lee, DY Kim, J Woo - IEEE Journal of Biomedical and …, 2023 - ieeexplore.ieee.org
To avoid the adverse consequences from abrupt increases in blood glucose, diabetic
inpatients should be closely monitored. Using blood glucose data from type 2 diabetes …
inpatients should be closely monitored. Using blood glucose data from type 2 diabetes …
[HTML][HTML] Integrating educational theories with virtual reality: enhancing engineering education and VR laboratories
Immersive technologies, including virtual reality (VR), augmented reality (AR), mixed reality
(MR), and extended reality (XR), create realistic digital experiences by overlaying digital …
(MR), and extended reality (XR), create realistic digital experiences by overlaying digital …
[HTML][HTML] Intelligent control with artificial neural networks for automated insulin delivery systems
JLCB de Farias, WM Bessa - Bioengineering, 2022 - mdpi.com
Type 1 diabetes mellitus is a disease that affects millions of people around the world. Recent
progress in embedded devices has allowed the development of artificial pancreas that can …
progress in embedded devices has allowed the development of artificial pancreas that can …
T1DiabetesGranada: a longitudinal multi-modal dataset of type 1 diabetes mellitus
Type 1 diabetes mellitus (T1D) patients face daily difficulties in kee** their blood glucose
levels within appropriate ranges. Several techniques and devices, such as flash glucose …
levels within appropriate ranges. Several techniques and devices, such as flash glucose …
Evaluation of offline reinforcement learning for blood glucose level control in type 1 diabetes
Patients with Type 1 diabetes must closely monitor their blood glucose levels and inject
insulin to control them. Automated glucose control methods that remove the need for human …
insulin to control them. Automated glucose control methods that remove the need for human …
A deep neural network prediction method for diabetes based on Kendall's correlation coefficient and attention mechanism
X Qi, Y Lu, Y Shi, H Qi, L Ren - Plos one, 2024 - journals.plos.org
Diabetes is a chronic disease, which is characterized by abnormally high blood sugar levels.
It may affect various organs and tissues, and even lead to life-threatening complications …
It may affect various organs and tissues, and even lead to life-threatening complications …
Platform for precise, personalised glucose forecasting through continuous glucose and physical activity monitoring and deep learning
Emerging research has demonstrated the advantage of continuous glucose monitoring for
use in artificial pancreas and diabetes management in general. Recent studies demonstrate …
use in artificial pancreas and diabetes management in general. Recent studies demonstrate …
[HTML][HTML] Immersive VR for K-12 experiential education–proposing a pedagogies, practicalities, and perspectives informed framework
Research on immersive virtual reality's (VR) impact on K-12 education, particularly
experiential learning, has increased. However, there is a paucity of research providing …
experiential learning, has increased. However, there is a paucity of research providing …
Efficient nonlinear autoregressive neural network architecture for real-time biomedical applications
Medical devices, such as continuous glucose monitors (CGMs) and drug-delivery pumps,
are often combined in closed-loop systems for treating chronic diseases. Generally, these …
are often combined in closed-loop systems for treating chronic diseases. Generally, these …