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Diabetes Technology & Therapeutics|September 17, 2015
Use of Dried Capillary Blood Sampling for Islet Autoantibody Screening in Relatives: A Feasibility StudyPolly J Bingley, Lisa E Rafkin, Della Matheson, et al.
Diabetes Technology & Therapeutics|May 17, 2016
Automated Overnight Closed-Loop Control Using a Proportional-Integral-Derivative Algorithm with Insulin Feedback in Children and Adolescents with Type 1 Diabetes at Diabetes CampTrang T Ly, D Barry Keenan, Anirban Roy, et al.
Diabetes Technology & Therapeutics|May 20, 2016
Clinical Safety and Feasibility of the Advanced Bolus Calculator for Type 1 Diabetes Based on Case-Based Reasoning: A 6-Week Nonrandomized Single-Arm Pilot StudyMonika Reddy, Peter Pesl, Maria Xenou, et al.
Diabetes Technology & Therapeutics|March 31, 2016
A Study of the Carbohydrate-to-Insulin Ratio in Pregnant Women with Type 1 Diabetes on Pump TreatmentMarzia Bongiovanni, Raffaella Fresa, Natalia Visalli, et al.
Diabetes Technology & Therapeutics|June 4, 2016
Minimization of Hypoglycemia as an Adverse Event During Insulin Infusion: Further Refinement of the Yale ProtocolMichael R Marvin, Silvio E Inzucchi, Brian J Besterman
Diabetes Technology & Therapeutics|July 12, 2016
Effect of Electronic Messaging on Glucose Control and Hospital Admissions Among Patients with DiabetesBrian Petullo, Byron Noble, Kathleen M Dungan
Diabetes Technology & Therapeutics|August 3, 2017
Closed-Loop Control Without Meal Announcement in Type 1 DiabetesFaye M Cameron, Trang T Ly, Bruce A Buckingham, et al.
Diabetes Technology & Therapeutics|August 31, 2017
Improving the Safety and Functionality of an Artificial Pancreas System for Use in Younger Children: Input from Parents and PhysiciansRachel Gildersleeve, Sara L Riggs, Daniel R Cherñavvsky, et al.
Diabetes Technology & Therapeutics|October 24, 2017
An Effective Intervention for Diabetic Lipohypertrophy: Results of a Randomized, Controlled, Prospective Multicenter Study in FranceCatherine Campinos, Jean-Pierre Le Floch, Catherine Petit, et al.
Diabetes Technology & Therapeutics|July 18, 2022
Machine Learning for Predicting the Risk of Transition from Prediabetes to DiabetesThomas Zueger, Simon Schallmoser, Mathias Kraus, et al.
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