Agatha F Scheideman,Mandy M Shao,Henry Zelada et al.
Agatha F Scheideman et al.
Machine learning (ML) uses computer systems to develop statistical algorithms and statistical models that can draw inferences from demographic data, structured behavioral data, continuous glucose monitor (CGM) tracings, laboratory data, car...
Wearable Diabetes Technology for Hospitalized People With Diabetes and End-Stage Kidney Disease, Peripartum State, and Steroid Use [0.03%]
用于住院糖尿病患者的可穿戴设备技术及其终末期肾病、围产期状态和皮质类固醇使用
Shubham Agarwal,Andrew P Demidowich,Diana Soliman et al.
Shubham Agarwal et al.
Inpatient hyperglycemia remains a challenge, as conventional insulin regimens often lead to both hyperglycemia and hypoglycemia. Traditional glucose monitoring methods, such as point-of-care testing, fail to detect diurnal and nocturnal gly...
Automated Oral Minimal Models for Rapid Estimation of Insulin Sensitivity and Beta-Cell Responsivity in Large-Scale Data Sets: A Validation Study [0.03%]
大型数据集的自动化口服用最小模型快速估计胰岛素敏感性和β细胞反应性的验证研究
Simone Perazzolo,Alfonso Galderisi,Alice Carr et al.
Simone Perazzolo et al.
The Oral Minimal Model (OMM) analysis offers unique measures of glucose-insulin regulation during glucose challenges. However, its manual test-by-test implementation limits scalability in large studies. We introduce the Automated Oral Minim...
Scoping Review-Diabetes Technology for Individuals on Kidney Replacement Therapy (Dialysis): Current Trends and Future Directions [0.03%]
系统综述：终末期肾病患者的糖尿病技术：当前趋势及未来方向
Hellena Hailu Habte-Asres,Joseph Ngmenesegre Suglo,Khuram Chaudhry et al.
Hellena Hailu Habte-Asres et al.
Aim: This review aims to map the existing literature on the use of diabetes technology in people receiving dialysis, with a focus on utilization, accuracy, and effectiveness. ...
Probabilistic Meal Detection and Estimation in Type 1 Diabetes With Extreme Shape Variability [0.03%]
具有极端形态变异的1型糖尿病的概率餐食检测与估计方法研究
Mrunal Sontakke,Faye Cameron,B Wayne Bequette
Mrunal Sontakke
Background: The study conceptualizes the application of particle filters for meal detection and shape estimation, aimed at assisting patients with type 1 diabetes (T1D) in meal announcements. It concentrates on leveraging...
Smartphone Application-Based Rehabilitation Program for Older Adults With Type 2 Diabetes Mellitus: Insights From the Design, Development, and Validation [0.03%]
基于智能手机应用程序的2型糖尿病老年人康复计划：来自设计、开发和验证的见解
Tina Agnes,G Arun Maiya,Muralidhar M Kulakarni et al.
Tina Agnes et al.
Background: Older adults facing chronic health challenges may experience significant advantages from smartphone technologies. This study aimed to design, develop, and validate a smartphone application to deliver rehabilit...
Stefanie Hossmann,Derek Brandt,Lutz Heinemann
Stefanie Hossmann
Reducing the environmental footprint of medical devices used by people with diabetes remains a challenge within the constraints of current regulatory frameworks. These frameworks, which rightly prioritize patient safety, sterility, and trac...
Artificial Intelligence in Gestational Diabetes Care: A Systematic Review [0.03%]
人工智障在妊娠期糖尿病护理中的应用：系统回顾研究
Rawan AlSaad,Ali Elhenidy,Aliya Tabassum et al.
Rawan AlSaad et al.
Background: Artificial intelligence (AI) has emerged as a transformative tool for advancing gestational diabetes mellitus (GDM) care, offering dynamic, data-driven methods for early detection, management, and personalized...
Divergent Interleukin-6 Responses to Hypoglycemia and Hyperglycemia in Adults With Type 1 Diabetes: Insights From Continuous Glucose Monitoring [0.03%]
连续葡萄糖监测下成人1型糖尿病患者低血糖和高血糖引起的 interleukin-6 反应差异性研究
Theocharis Koufakis,Areti Kourti,Paraskevi Karalazou et al.
Theocharis Koufakis et al.
Sebastian F Petry,Manfred Krüger,Chris Unsöld et al.
Sebastian F Petry et al.