Machine learning in precision diabetes care and cardiovascular risk prediction

EK Oikonomou, R Khera - Cardiovascular Diabetology, 2023 - Springer
Artificial intelligence and machine learning are driving a paradigm shift in medicine,
promising data-driven, personalized solutions for managing diabetes and the excess …

Artificial intelligence for diabetes care: current and future prospects

B Sheng, K Pushpanathan, Z Guan, QH Lim… - The Lancet Diabetes & …, 2024 - thelancet.com
Artificial intelligence (AI) use in diabetes care is increasingly being explored to personalise
care for people with diabetes and adapt treatments for complex presentations. However, the …

A wearable non-enzymatic sensor for continuous monitoring of glucose in human sweat

Y Chen, Y Sun, Y Li, Z Wen, X Peng, Y He, Y Hou… - Talanta, 2024 - Elsevier
To enhance personalized diabetes management, there is a critical need for non-invasive
wearable electrochemical sensors made from flexible materials to enable continuous …

The role of wearable devices in chronic disease monitoring and patient care: A comprehensive review

EA Jafleh, FA Alnaqbi, HA Almaeeni, S Faqeeh… - Cureus, 2024 - pmc.ncbi.nlm.nih.gov
Wearable health devices are becoming vital in chronic disease management because they
offer real-time monitoring and personalized care. This review explores their effectiveness …

[HTML][HTML] Using Wearables to Study Biopsychosocial Dynamics in Couples Who Cope With a Chronic Health Condition: Ambulatory Assessment Study

T Pauly, J Lüscher, LO Wilhelm, MA Amrein… - JMIR mHealth and …, 2024 - mhealth.jmir.org
Background Technology has become an integral part of our everyday life, and its use to
manage and study health is no exception. Romantic partners play a critical role in managing …

New technologies for the diagnosis, treatment, and monitoring of cardiovascular diseases

LF Rubio, C Lozano-Granero, R Vidal-Pérez… - Revista Española de …, 2024 - Elsevier
Telemedicine enables the remote provision of medical care through information and
communication technologies, facilitating data transmission, patient participation, promotion …

AIE multifunctional probe empowering colorimetric-fluorescence dual-mode biosensor for early diabetic screening

Z Chen, Y Zhang, R Teng, M Li, C Ding… - Biosensors and …, 2025 - Elsevier
Diabetes mellitus (DM) is a serious chronic disease characterized by abnormally high blood
glucose (Glu) levels, which can cause organ malfunction and metabolic disturbances …

Machine Learning to Infer a Health State Using Biomedical Signals—Detection of Hypoglycemia in People with Diabetes while Driving Real Cars

V Lehmann, T Zueger, M Maritsch, M Notter… - NEJM AI, 2024 - ai.nejm.org
Background Hypoglycemia, one of the most dangerous acute complications of diabetes,
poses a substantial risk for vehicle accidents. To date, both reliable detection and warning of …

AI-supported insulin dosing for type 2 diabetes

GM Davis, H Shao, FJ Pasquel - Nature Medicine, 2023 - nature.com
AI-supported insulin dosing for type 2 diabetes | Nature Medicine Skip to main content Thank
you for visiting nature.com. You are using a browser version with limited support for CSS. To …

Artificial Intelligence to Diagnose Complications of Diabetes

AT Ayers, CN Ho, D Kerr, SL Cichosz… - Journal of Diabetes …, 2025 - journals.sagepub.com
Artificial intelligence (AI) is increasingly being used to diagnose complications of diabetes.
Artificial intelligence is technology that enables computers and machines to simulate human …