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Literature DB >> 29565720

Ongoing Debate About Models for Artificial Pancreas Systems and In Silico Studies.

Gregory P Forlenza¹.

Abstract

Mesh：

Year: 2018 PMID： 29565720 PMCID： PMC5867504 DOI： 10.1089/dia.2018.0038

Source DB: PubMed Journal: Diabetes Technol Ther ISSN： 1520-9156 Impact factor: 6.118

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References

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32 in total

1. Nonlinear model predictive control of glucose concentration in subjects with type 1 diabetes.

Authors: Roman Hovorka; Valentina Canonico; Ludovic J Chassin; Ulrich Haueter; Massimo Massi-Benedetti; Marco Orsini Federici; Thomas R Pieber; Helga C Schaller; Lukas Schaupp; Thomas Vering; Malgorzata E Wilinska
Journal: Physiol Meas Date: 2004-08 Impact factor: 2.833

2. Mathematical modeling research to support the development of automated insulin-delivery systems.

Authors: Garry M Steil; Jaques Reifman
Journal: J Diabetes Sci Technol Date: 2009-03-01

3. Control to range for diabetes: functionality and modular architecture.

Authors: Boris Kovatchev; Stephen Patek; Eyal Dassau; Francis J Doyle; Lalo Magni; Giuseppe De Nicolao; Claudio Cobelli
Journal: J Diabetes Sci Technol Date: 2009-09-01

4. Best Use of Models to Advance the Artificial Pancreas.

Authors: Garry M Steil
Journal: Diabetes Technol Ther Date: 2018-02-15 Impact factor: 6.118

5. Characteristics of basal insulin requirements by age and gender in Type-1 diabetes patients using insulin pump therapy.

Authors: Gary Scheiner; Bret A Boyer
Journal: Diabetes Res Clin Pract Date: 2004-12-22 Impact factor: 5.602

6. Fully integrated artificial pancreas in type 1 diabetes: modular closed-loop glucose control maintains near normoglycemia.

Authors: Marc Breton; Anne Farret; Daniela Bruttomesso; Stacey Anderson; Lalo Magni; Stephen Patek; Chiara Dalla Man; Jerome Place; Susan Demartini; Simone Del Favero; Chiara Toffanin; Colleen Hughes-Karvetski; Eyal Dassau; Howard Zisser; Francis J Doyle; Giuseppe De Nicolao; Angelo Avogaro; Claudio Cobelli; Eric Renard; Boris Kovatchev
Journal: Diabetes Date: 2012-06-11 Impact factor: 9.461

Ongoing Debate About Models for Artificial Pancreas Systems and In Silico Studies.

1. Nonlinear model predictive control of glucose concentration in subjects with type 1 diabetes.

2. Mathematical modeling research to support the development of automated insulin-delivery systems.

3. Control to range for diabetes: functionality and modular architecture.

4. Best Use of Models to Advance the Artificial Pancreas.

5. Characteristics of basal insulin requirements by age and gender in Type-1 diabetes patients using insulin pump therapy.

6. Fully integrated artificial pancreas in type 1 diabetes: modular closed-loop glucose control maintains near normoglycemia.

7. In silico preclinical trials: a proof of concept in closed-loop control of type 1 diabetes.

8. Modular artificial beta-cell system: a prototype for clinical research.

9. One-Day Bayesian Cloning of Type 1 Diabetes Subjects: Toward a Single-Day UVA/Padova Type 1 Diabetes Simulator.

10. The UVA/PADOVA Type 1 Diabetes Simulator: New Features.