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Continuous glucose monitoring (CGM) combined with AI offers new opportunities for proactive diabetes management through real-time glucose forecasting. However, most existing models are task-specific and lack generalization across patient…

Quantitative Methods · Quantitative Biology 2025-08-04 Junjie Luo , Abhimanyu Kumbara , Mansur Shomali , Rui Han , Anand Iyer , Ritu Agarwal , Gordon Gao

A task of vital clinical importance, within Diabetes management, is the prevention of hypo/hyperglycemic events. Increasingly adopted Continuous Glucose Monitoring (CGM) devices offer detailed, non-intrusive and real time insights into a…

Machine Learning · Computer Science 2023-03-09 Jakub J. Dylag

Prediabetes is a common health condition that often goes undetected until it progresses to type 2 diabetes. Early identification of prediabetes is essential for timely intervention and prevention of complications. This research explores the…

Signal Processing · Electrical Eng. & Systems 2025-04-08 Dimitra Tatli , Vasileios Papapanagiotou , Aris Liakos , Apostolos Tsapas , Anastasios Delopoulos

Continuous glucose monitoring (CGM) is vital for diabetes care, but current systems rely on invasive implants or electrochemical sensors that often cause discomfort and skin irritation. Non-invasive alternatives remain limited by low…

In the U.S., over a third of adults are pre-diabetic, with 80\% unaware of their status. This underlines the need for better glucose monitoring to prevent type 2 diabetes and related heart diseases. Existing wearable glucose monitors are…

Signal Processing · Electrical Eng. & Systems 2024-06-26 Yidong Zhu , Nadia B Aimandi , Mohammad Arif Ul Alam

Accurately detecting hypoglycemia without invasive glucose sensors remains a critical challenge in diabetes management, particularly in regions where continuous glucose monitoring (CGM) is prohibitively expensive or clinically inaccessible.…

Human-Computer Interaction · Computer Science 2026-02-12 Lawrence Obiuwevwi , Krzysztof J. Rechowicz , Vikas Ashok , Sampath Jayarathna

The classification of diabetes and prediabetes by static glucose thresholds obscures the pathophysiological dysglycemia heterogeneity, primarily driven by insulin resistance (IR), beta-cell dysfunction, and incretin deficiency. This review…

Machine Learning · Computer Science 2025-11-07 Ahmed A. Metwally , Heyjun Park , Yue Wu , Tracey McLaughlin , Michael P. Snyder

In the world today, diabetic complications are a major factor in the disease's high mortality rate. Diabetes mellitus has been a major source of concern for decades due to its global prevalence and the resulting rising costs to individuals,…

Medical Physics · Physics 2023-10-18 Umme Hafsa Momy

Control of blood glucose is essential for diabetes management. Current digital therapeutic approaches for subjects with Type 1 diabetes mellitus (T1DM) such as the artificial pancreas and insulin bolus calculators leverage machine learning…

Computer Vision and Pattern Recognition · Computer Science 2019-02-27 Kezhi Li , John Daniels , Chengyuan Liu , Pau Herrero , Pantelis Georgiou

Internet of Things (IoT) enabled wearable sensors for health monitoring are widely used to reduce the cost of personal healthcare and improve quality of life. The sleep apnea-hypopnea syndrome, characterized by the abnormal reduction or…

Machine Learning · Computer Science 2021-06-18 Arlene John , Barry Cardiff , Deepu John

Wearable biosensors have revolutionized human performance monitoring by enabling real-time assessment of physiological and biomechanical parameters. However, existing solutions lack the ability to simultaneously capture breath-force…

Signal Processing · Electrical Eng. & Systems 2025-11-18 Chenyu Tang , Wentian Yi , Zibo Zhang , Edoardo Occhipinti , Luigi G. Occhipinti

Wearable sensors such as smartwatches have become ubiquitous in recent years, allowing the easy and continual measurement of physiological parameters such as heart rate, physical activity, body temperature, and blood glucose in an every-day…

Neurons and Cognition · Quantitative Biology 2024-05-08 Christopher Thornton , Billy C. Smith , Guillermo M. Besne , Bethany Little , Yujiang Wang

Continuous Blood Glucose (CGM) monitors have revolutionized the ability of diabetics to manage their blood glucose, and paved the way for artificial pancreas systems. In this paper we augment CGM data with sensor input collected by a smart…

Human-Computer Interaction · Computer Science 2023-02-06 Sam Royston

This paper proposes a novel wireless, battery-free, and label-free biosensor for minimally invasive and non-invasive permittivity sensing for applications such as detecting glucose levels in the interstitial dermal fluid. The miniaturized,…

Applied Physics · Physics 2022-10-19 Rehab S. Hassan

The rising rates of diabetes necessitate innovative methods for its management. Continuous glucose monitors (CGM) are small medical devices that measure blood glucose levels at regular intervals providing insights into daily patterns of…

Quantitative Methods · Quantitative Biology 2024-10-10 Renat Sergazinov , Elizabeth Chun , Valeriya Rogovchenko , Nathaniel Fernandes , Nicholas Kasman , Irina Gaynanova

The global rise in type 2 diabetes underscores the need for scalable and cost-effective screening methods. Current diagnosis requires biochemical assays, which are invasive and costly. Advances in consumer wearables have enabled early…

Blood glucose level monitoring is of great importance, especially for subjects experiencing type 1 diabetes. Accurate monitoring of their blood glucose level prevents dangerous and life-threatening situations that might be experienced by…

Precise glucose level monitoring is critical for people with diabetes to avoid serious complications. While there are several methods for continuous glucose level monitoring, research on maintenance devices is limited. To mitigate the gap,…

Machine Learning · Computer Science 2024-06-10 Azmine Toushik Wasi

In the case of diabetes, fingertip pricking for a blood sample is inconvenient for glucose measurement. Invasive approaches like laboratory test and one-touch glucometer enhance the risk of blood-related infections. To mitigate this…

Signal Processing · Electrical Eng. & Systems 2021-06-28 Prateek Jain , Amit M. Joshi , Saraju P. Mohanty

Urinary tract infection (UTI) flare-ups pose a significant health risk for older adults with chronic conditions. These infections often go unnoticed until they become severe, making early detection through innovative smart home technologies…

Machine Learning · Computer Science 2025-11-25 Chibuike E. Ugwu , Roschelle Fritz , Diane J. Cook , Janardhan Rao Doppa
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