SteilGM: Algorithms for a closed-loop artificial pancreas: the case for proportional-integral-derivative control. J Diabetes Sci Technol, 2013; 7:1621–1631.
2.
BequetteBW: Algorithms for a closed-loop artificial pancreas: the case for model predictive control. J Diabetes Sci Technol, 2013; 7:1632–1643.
3.
BergenstalRM, GargS, WeinzimerSA, et al.: Safety of a hybrid closed-loop insulin delivery system in patients with type 1 diabetes. JAMA, 2016; 316:1407–1408.
4.
GargSK, WeinzimerSA, TamborlaneWV, et al.: Glucose outcomes with the in-home use of a hybrid closed-loop insulin delivery system in adolescents and adults with type 1 diabetes. Diabetes Technol Ther, 2017; 19:155–163.
5.
WeismanA, BaiJW, CardinezM, et al.: Effect of artificial pancreas systems on glycaemic control in patients with type 1 diabetes: a systematic review and meta-analysis of outpatient randomised controlled trials. Lancet Diabetes Endocrinol, 2017; 5:501–512.
6.
KropffJ, DeVriesJH: Continuous glucose monitoring, future products, and update on worldwide artificial pancreas projects. Diabetes Technol Ther, 2016; 18Suppl 2:S253–S263.
7.
SteilGM: Best use of models to advance the artificial pancreas. Diabetes Technol Ther, 2018:20:171–173.
8.
ForlenzaGP, BuckinghamB, MaahsDM: Progress in diabetes technology: developments in insulin pumps, continuous glucose monitors, and progress towards the artificial pancreas. J Pediatr, 2016; 169:13–20.
9.
DoyleFJIII, HuyettLM, LeeJB, et al.: Closed-loop artificial pancreas systems: engineering the algorithms. Diabetes Care, 2014; 37:1191–1197.
10.
HovorkaR, CanonicoV, ChassinLJ, et al.: Nonlinear model predictive control of glucose concentration in subjects with type 1 diabetes. Physiol Meas, 2004; 25:905–920.
11.
SteilGM, RebrinK, DarwinC, et al.: Feasibility of automating insulin delivery for the treatment of type 1 diabetes. Diabetes, 2006; 55:3344–3350.
12.
KovatchevB, PatekS, DassauE, et al.: Control to range for diabetes: functionality and modular architecture. J Diabetes Sci Technol, 2009; 3:1058–1065.
13.
SteilGM, ReifmanJ: Mathematical modeling research to support the development of automated insulin-delivery systems. J Diabetes Sci Technol, 2009; 3:388–395.
14.
AtlasE, NimriR, MillerS, et al.: MD-logic artificial pancreas system: a pilot study in adults with type 1 diabetes. Diabetes Care, 2010; 33:1072–1076.
15.
GrosmanB, DassauE, ZisserHC, et al.: Zone model predictive control: a strategy to minimize hyper- and hypoglycemic events. J Diabetes Sci Technol, 2010; 4:961–975.
16.
RuizJL, SherrJL, CengizE, et al.: Effect of insulin feedback on closed-loop glucose control: a crossover study. J Diabetes Sci Technol, 2012; 6:1123–1130.
17.
KanderianSS, WeinzimerS, VoskanyanG, SteilGM: Identification of intraday metabolic profiles during closed-loop glucose control in individuals with type 1 diabetes. J Diabetes Sci Technol, 2009; 3:1047–1057.
18.
BretonM, FarretA, BruttomessoD, et al.: Fully integrated artificial pancreas in type 1 diabetes: modular closed-loop glucose control maintains near normoglycemia. Diabetes, 2012; 61:2230–2237.
19.
DassauE, ZisserH, C PalermC, A BuckinghamB, JovanovicL, J DoyleF3rd: Modular artificial beta-cell system: a prototype for clinical research. J Diabetes Sci Technol, 2008; 2:863–872.
20.
LeeJB, DassauE, SeborgDE, DoyleFJIII: Model-based personalization scheme of an artificial pancreas for type 1 diabetes applications. Paper presented at: 2013 American Control Conference; June 17–19, 2013, 2013.
21.
ThabitH, TauschmannM, AllenJM, et al.: Home use of an artificial beta cell in type 1 diabetes. N Engl J Med, 2015; 373:2129–2140.
22.
El-KhatibFH, RussellSJ, MagyarKL, et al.: Autonomous and continuous adaptation of a bihormonal bionic pancreas in adults and adolescents with type 1 diabetes. J Clin Endocrinol Metab, 2014; 99:1701–1711.
23.
RussellSJ, El-KhatibFH, SinhaM, et al.: Outpatient glycemic control with a bionic pancreas in type 1 diabetes. N Engl J Med, 2014; 371:313–325.
24.
PinskerJE, LeeJB, DassauE, et al.: Randomized crossover comparison of personalized MPC and PID control algorithms for the artificial pancreas. Diabetes Care, 2016; 39:1135–1142.
25.
SteilGM: Comment on Pinsker et al. Randomized crossover comparison of personalized MPC and PID control algorithms for the artificial pancreas. Diabetes Care, 2016; 39:1135–1142. Diabetes Care 2017;40:e3.
26.
PinskerJE, LeeJB, DassauE, et al.: Response to Comment on Pinsker et al. Randomized crossover comparison of personalized MPC and PID control algorithms for the artificial pancreas. Diabetes Care 2016;39:1135–1142. Diabetes Care, 2017; 40:e4–e5.
27.
MesserLH, ForlenzaGP, WadwaRP, et al.: The dawn of automated insulin delivery: a new clinical framework to conceptualize insulin administration. Pediatr Diabetes, 2018; 19:14–17.
28.
ScheinerG, BoyerBA: Characteristics of basal insulin requirements by age and gender in Type-1 diabetes patients using insulin pump therapy. Diabetes Res Clin Pract, 2005; 69:14–21.
29.
ForlenzaGP, PyleLL, MaahsDM, DunnTC: Ambulatory glucose profile analysis of the juvenile diabetes research foundation continuous glucose monitoring dataset-applications to the pediatric diabetes population. Pediatr Diabetes, 2017; 18:622–628.
30.
DassauE, PinskerJE, KudvaYC, et al.: Twelve-week 24/7 ambulatory artificial pancreas with weekly adaptation of insulin delivery settings: effect on hemoglobin A1c and hypoglycemia. Diabetes Care, 2017; 40:1719–1726.
31.
KovatchevBP, BretonM, ManCD, CobelliC: In silico preclinical trials: a proof of concept in closed-loop control of type 1 diabetes. J Diabetes Sci Technol, 2009; 3:44–55.
32.
ManCD, MichelettoF, LvD, et al.: The UVA/PADOVA type 1 diabetes simulator: new features. J Diabetes Sci Technol, 2014; 8:26–34.
33.
VisentinR, Dalla ManC, KovatchevB, CobelliC: The university of Virginia/Padova type 1 diabetes simulator matches the glucose traces of a clinical trial. Diabetes Technol Ther, 2014; 16:428–434.
34.
VisentinR, ManCD, CobelliC: One-day bayesian cloning of type 1 diabetes subjects: toward a single-day UVA/Padova type 1 diabetes simulator. IEEE Trans Biomed Eng, 2016; 63:2416–2424.