AIMC Topic: Blood Glucose Self-Monitoring

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Detection of fasting blood sugar using a microwave sensor and convolutional neural network.

Scientific reports Jul 2, 2025
Monitoring of fasting blood sugar (FBS) is a critical component in the diagnosis and management of diabetes, one of the most widespread chronic diseases globally. Microwave sensing-particularly through microstrip-based sensors-has recently gained att...
Microwaves Blood Glucose Biosensing Techniques Blood Glucose Self-Monitoring Neural Networks, Computer Female Adult Convolutional Neural Networks Fasting Male Middle Aged Humans
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Research Gaps, Challenges, and Opportunities in Automated Insulin Delivery Systems.

Journal of diabetes science and technology Jul 1, 2025
BACKGROUND: Since the discovery of the life-saving hormone insulin in 1921 by Dr Frederick Banting in 1921, there have been many critical discoveries and technical breakthroughs that have enabled people living with type 1 diabetes (T1D) to live longe...
Humans Pregnancy Blood Glucose Blood Glucose Self-Monitoring Insulin Pancreas, Artificial Insulin Infusion Systems Diabetes Mellitus, Type 1 Evidence Gaps Hypoglycemic Agents
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Personalized machine learning models for noninvasive hypoglycemia detection in people with type 1 diabetes using a smartwatch: Insights into feature importance during waking and sleeping times.

PloS one Jun 25, 2025
Hypoglycemia is a major challenge for people with diabetes. Therefore, glycemic monitoring is an important aspect of diabetes management. However, current methods such as finger pricking and continuous glucose monitoring systems (CGMS) are invasive, ...
Humans Machine Learning Algorithms Male Middle Aged Wearable Electronic Devices Blood Glucose Female Young Adult Adult Blood Glucose Self-Monitoring Sleep Diabetes Mellitus, Type 1 Hypoglycemia Wakefulness
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Global research trends in AI-assisted blood glucose management: a bibliometric study.

Frontiers in endocrinology May 28, 2025
BACKGROUND: AI-assisted blood glucose management has become a promising method to enhance diabetes care, leveraging technologies like continuous glucose monitoring (CGM) and predictive models. A comprehensive bibliometric analysis is needed to unders...
Glycemic Control Diabetes Mellitus Bibliometrics Blood Glucose Self-Monitoring Humans Biomedical Research Blood Glucose Artificial Intelligence Machine Learning
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Continuous glucose monitoring combined with artificial intelligence: redefining the pathway for prediabetes management.

Frontiers in endocrinology May 26, 2025
Prediabetes represents an early stage of glucose metabolism disorder with significant public health implications. Although traditional lifestyle interventions have demonstrated some efficacy in preventing the progression to type 2 diabetes, their lim...
Prediabetic State Continuous Glucose Monitoring Diabetes Mellitus, Type 2 Blood Glucose Self-Monitoring Disease Management Humans Artificial Intelligence Blood Glucose
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Development of Non-Invasive Continuous Glucose Prediction Models Using Multi-Modal Wearable Sensors in Free-Living Conditions.

Sensors (Basel, Switzerland) May 20, 2025
Continuous monitoring of glucose levels is important for diabetes management and prevention. While traditional glucose monitoring methods are often invasive and expensive, recent approaches using machine learning (ML) models have explored non-invasiv...
Adult Male Middle Aged Biosensing Techniques Humans Blood Glucose Self-Monitoring Machine Learning Wearable Electronic Devices Female Blood Glucose
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Multivariate Glucose Forecasting Using Deep Multihead Attention Layers Inside Neural Basis Expansion Networks.

IEEE journal of biomedical and health informatics May 6, 2025
Glucose forecasting is a crucial feature in a closed-loop diabetes management system relying on minimally invasive continuous glucose monitoring (CGM) sensors. Forecasting is required to prevent hyperglycaemia or hypoglycaemia due to delayed or incor...
Humans Neural Networks, Computer Blood Glucose Self-Monitoring Deep Learning Blood Glucose Signal Processing, Computer-Assisted
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Diabetes: Non-Invasive Blood Glucose Monitoring Using Federated Learning with Biosensor Signals.

Biosensors Apr 16, 2025
Diabetes is a growing global health concern, affecting millions and leading to severe complications if not properly managed. The primary challenge in diabetes management is maintaining blood glucose levels (BGLs) within a safe range to prevent compli...
Blood Glucose Biosensing Techniques Photoplethysmography Humans Diabetes Mellitus Neural Networks, Computer Blood Glucose Self-Monitoring Machine Learning Federated Learning
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A deep learning approach for blood glucose monitoring and hypoglycemia prediction in glycogen storage disease.

Scientific reports Apr 15, 2025
Glycogen storage disease (GSD) is a group of rare inherited metabolic disorders characterized by abnormal glycogen storage and breakdown. These disorders are caused by mutations in G6PC1, which is essential for proper glucose storage and metabolism. ...
Child, Preschool Child Hypoglycemia Blood Glucose Self-Monitoring Humans Glycogen Storage Disease Algorithms Retrospective Studies Deep Learning Adult Female Adolescent Male Blood Glucose Middle Aged
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Personalized glucose forecasting for people with type 1 diabetes using large language models.

Computer methods and programs in biomedicine Apr 2, 2025
BACKGROUND AND OBJECTIVE: Type 1 Diabetes (T1D) is an autoimmune disease that requires exogenous insulin via Multiple Daily Injections (MDIs) or subcutaneous pumps to maintain targeted glucose levels. Despite the advances in Continuous Glucose Monito...
Male Blood Glucose Large Language Models Humans Insulin Insulin Infusion Systems Language Diabetes Mellitus, Type 1 Forecasting Female Blood Glucose Self-Monitoring Precision Medicine Adult
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