Literature DB >> 30894501

Advances in artificial pancreas systems.

Charlotte K Boughton1, Roman Hovorka2.   

Abstract

The artificial pancreas for managing type 1 diabetes has progressed from research into clinical practice, revealing areas for future advancements.
Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

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Year:  2019        PMID： 30894501     DOI： 10.1126/scitranslmed.aaw4949

Source DB:  PubMed          Journal:  Sci Transl Med        ISSN： 1946-6234            Impact factor:   17.956


  10 in total

Review 1.  Glucose-Responsive Insulin and Delivery Systems: Innovation and Translation.

Authors:  Jinqiang Wang; Zejun Wang; Jicheng Yu; Anna R Kahkoska; John B Buse; Zhen Gu
Journal:  Adv Mater       Date:  2019-08-18       Impact factor: 30.849

2.  The Bio-inspired Artificial Pancreas for Type 1 Diabetes Control in the Home: System Architecture and Preliminary Results.

Authors:  Pau Herrero; Mohamed El-Sharkawy; John Daniels; Narvada Jugnee; Chukwuma N Uduku; Monika Reddy; Nick Oliver; Pantelis Georgiou
Journal:  J Diabetes Sci Technol       Date:  2019-10-14

3.  An In Silico Head-to-Head Comparison of the Do-It-Yourself Artificial Pancreas Loop and Bio-Inspired Artificial Pancreas Control Algorithms.

Authors:  Ryan Armiger; Monika Reddy; Nick S Oliver; Pantelis Georgiou; Pau Herrero
Journal:  J Diabetes Sci Technol       Date:  2021-12-03

Review 4.  Dual-hormone artificial pancreas for management of type 1 diabetes: Recent progress and future directions.

Authors:  Marco Infante; David A Baidal; Michael R Rickels; Andrea Fabbri; Jay S Skyler; Rodolfo Alejandro; Camillo Ricordi
Journal:  Artif Organs       Date:  2021-07-15       Impact factor: 2.663

Review 5.  Modulating the foreign body response of implants for diabetes treatment.

Authors:  Bhushan N Kharbikar; Gauree S Chendke; Tejal A Desai
Journal:  Adv Drug Deliv Rev       Date:  2021-01-21       Impact factor: 17.873

6.  Blood Glucose Level Forecasting on Type-1-Diabetes Subjects during Physical Activity: A Comparative Analysis of Different Learning Techniques.

Authors:  Benedetta De Paoli; Federico D'Antoni; Mario Merone; Silvia Pieralice; Vincenzo Piemonte; Paolo Pozzilli
Journal:  Bioengineering (Basel)       Date:  2021-05-26

7.  Utility of Big Data in Predicting Short-Term Blood Glucose Levels in Type 1 Diabetes Mellitus Through Machine Learning Techniques.

Authors:  Ignacio Rodríguez-Rodríguez; Ioannis Chatzigiannakis; José-Víctor Rodríguez; Marianna Maranghi; Michele Gentili; Miguel-Ángel Zamora-Izquierdo
Journal:  Sensors (Basel)       Date:  2019-10-16       Impact factor: 3.576

8.  An Insulin Bolus Advisor for Type 1 Diabetes Using Deep Reinforcement Learning.

Authors:  Taiyu Zhu; Kezhi Li; Lei Kuang; Pau Herrero; Pantelis Georgiou
Journal:  Sensors (Basel)       Date:  2020-09-06       Impact factor: 3.576

9.  Blood glucose regulation and control of insulin and glucagon infusion using single model predictive control for type 1 diabetes mellitus.

Authors:  Cifha Crecil Dias; Surekha Kamath; Sudha Vidyasagar
Journal:  IET Syst Biol       Date:  2020-06       Impact factor: 1.615

10.  Characterizing the weight-glycemia phenotypes of type 1 diabetes in youth and young adulthood.

Authors:  Michael R Kosorok; Elizabeth J Mayer-Davis; Anna R Kahkoska; Crystal T Nguyen; Xiaotong Jiang; Linda A Adair; Shivani Agarwal; Allison E Aiello; Kyle S Burger; John B Buse; Dana Dabelea; Lawrence M Dolan; Giuseppina Imperatore; Jean Marie Lawrence; Santica Marcovina; Catherine Pihoker; Beth A Reboussin; Katherine A Sauder
Journal:  BMJ Open Diabetes Res Care       Date:  2020-01
  10 in total

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