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. 2022 Feb 14;16(2):516–571. doi: 10.1177/19322968211070355
Alharthi “Pre-Ramadan” Telemedicine: Effect on Fasting Experience & Glycemic Control during Ramadan in People with Type 1 Diabetes A1
Arnold Smart Insulin Pen Integrates New Sensors and Connects to AI for Insulin Dose Calculation A2
Arrieta Real-World Outcomes of the MiniMed™ 780G System When Used with Optimal Setting A3
Arunachalam Impact of Real-World MiniMed™ 670G System Use on Glycemic Outcomes in the United States A4
Baumann Regression Modelling between Statistical Rigor and Clinical Implementation - The Benefits of Open Communication among Disciplines A5
Beck Improvements in Hypoglycemia and HbA1c with RT-CGM Adoption: Results from the COACH Study A6
Bosoni Relationship between Time in Range, Glycemic Variability Metrics and Daily Scan Rate in Children with Type 1 Diabetes A7
Brew-Sam Diabetes Technology Experiences of Young People Living with Type 1 Diabetes and Their Parents – Analysis Guided by a Hybrid Theoretical Foundation A8
Bunsick Inexpensive Regular Human Insulin Used with CGM Provides Similar Outcomes to More Expensive Insulin Lispro A9
Button 1,5-Anhydroglucitol Is an Independent Predictor of Mortality in Patients with COVID-19 A10
Champakanath Long-Term (7-Year) Glycemic Outcomes with Continuous Glucose Monitoring (CGM) Initiation within First Year of Type 1 Diabetes (T1D) Diagnosis A11
Chattaraj Rate of Unexplained Hyperglycemia and Infusion Set Occlusion: Medtronic Extended Infusion Set (EIS) Pivotal Trial and 3-Day Infusion Set Study Comparison A12
Chien, A. Potential Cost Savings from a Reduction in Sensor-Detected Severe Hypoglycemia among Users of the InPen Smart Insulin Pen System A13
Chien, D. Diabetic Eye Disease and Virtual Assistant AI: Do They Help Our Patients? A14
Cox Virtual Care in the COVID-19 Era: Assessing Telemedicine Experiences among Diabetes Care and Education Specialists A15
Dugas Development of Self-Management Behavior Scores and Profiles with Digital Health Data A16
Fogle Current Technology Use in Pediatric Patients with Type 1 Diabetes: An Equity-Focused Analysis A17
Gadiraju I Am Diabetic: Can I Speak to Virtual Assistants in Different Languages? A18
Garelli Outpatient Full Closed-Loop Trial Using an Open-Source Remote Monitoring and Artificial Pancreas Platform A19
Haldimann Increased Time-in-Range after Meals When Using the SNAQ App A20
Idi Unsupervised Anomaly Detection Algorithms to Identify Compression Artifacts in Continuous Glucose Monitoring A21
Ilkowitz Identifying Patients at High Risk for Cystic Fibrosis Related Diabetes through the Use of the Freestyle LibrePro CGM A22
Jimenez How Telemedicine Assists Adults with Type 2 Diabetes Obtain Adequate Glucose Control A23
Kaiserman Higher Dose of Inhaled Technosphere Insulin Provides Significant Reduction in Post Prandial Glucose Excursions, without Hypoglycemia A24
Kamecke Clinical Evaluation of the Lumee™ Glucose System – a Fluorescence-Based Long-Term Continuous Glucose Sensor A25
Kesserwan Phenolic Preservatives, Present in Commercial Insulins, Trigger Inflammation at Infusion Sites via Mast Cell Activation A26
Kinzel The Influence of Health Insurance on the CGM System Choice of a Type 1 Diabetic A27
Lalani Evaluation of the Safety and Efficacy of the Lalani Insulin Infusion Protocol A28
McHugh Determining Losses in Jet-Injection Subcutaneous Insulin Delivery A29
Mujahid Generation of Realistic Virtual Diabetes Patients Using a Pix2Pix GAN: In Pursuit of an AI-Based Diabetes Simulator A30
Narayan Predicting Postprandial Glucose Excursions with Nutrient Content Using an Interpretable Random Forest Augmented by a Digital Twin ODE Model A31
Newson Preferences for Connected Insulin Pens: A Discrete Choice Experiment among Type 1 and Type 2 Diabetes Patients A32
Nosrati Development of the Microfluidic Bio-Artificial “mPancreas”: A Scalable and Modular Microfluidic-Based Biomimetically-Designed Bio-Artificial Pancreas A33
Oehme Method to Test and to Validate ML/AI SaMD A34
Ormsbee Can EGP Be Estimated from Heart Rate? A35
Owen Representing Type 1 Diabetes Device Data Using CDISC Standards A36
Pinsker Significant Reductions in Adverse Events and Hospitalizations with Control-IQ Technology in Adults with Type 1 Diabetes: Data from the CLIO Study A37
Potts Wearable Electrochemical Platform for Glucose Monitoring and Diabetes Management A38
Redding Transdermal Insulin Patch-No Needles A39
Rivera Si Cuentas, Come Lo Que Quieras. Carbcounting Quiz App A40
Romero-Ugalde Hyperoptimized Deep Learning Model for Glucose Prediction on DBLG1 A41
Roversi In Silico Trial to Quantitatively Measure How Much Different Behavioural Factors Influence Time in Hypoglycemia in Type 1 Diabetes Management A42
Sears The Effects of One Drop Digital Program on Glucose Control in Employees with Type 1 and 2 Diabetes A43
Sears The Effects of One Drop Digital Program on Weight Reduction in Overweight and Obese Employees with Prediabetes A44
Setford Post-market Clinical Surveillance of OneTouch Ultra® Plus Blood Glucose Test Strips A45
Shah A Data-Driven Approach to Predict Carbohydrate Counting Errors in Diabetes Management A46
Siviero Importance of Accounting for Correlation among Noise Samples When Filtering CGM Data: A Simulation Study A47
Stroh Point-of-Care Insulin Monitoring Using Electrochemical Sensing A48
Taylor User Experiences with an Insulin Pen Platform A49
Wartenberg CxM - Novel Sensors A50
Wu Can I Talk to Amazon Alexa and Google about Diabetic Kidney Disease? A51
Wuttke Upcycling of Used CGM to a Cool Chain Monitor for Insulin A52
Zimmermann Effect of Personalized Feedback Using Motivational Interviewing Strategies on the Frequency of Self-Monitoring of Blood Glucose and Subsequent Glycemic Control in Adults with Type 2 Diabetes A53