Since Banting and Best isolated insulin in the 1920s, dramatic progress has been made in the treatment of type 1 diabetes mellitus (T1DM). However, dose titration and timely injection to maintain optimal glycemic control are often challenging for T1DM patients and their families because they require frequent blood glucose checks. In recent years, technological advances in insulin pumps and continuous glucose monitoring systems have created paradigm shifts in T1DM care that are being extended to develop artificial pancreas systems (APSs). Numerous studies that demonstrate the superiority of glycemic control offered by APSs over those offered by conventional treatment are still being published, and rapid commercialization and use in actual practice have already begun. Given this rapid development, keeping up with the latest knowledge in an organized way is confusing for both patients and medical staff. Herein, we explore the history, clinical evidence, and current state of APSs, focusing on various development groups and the commercialization status. We also discuss APS development in groups outside the usual T1DM patients and the administration of adjunct agents, such as amylin analogues, in APSs.
Citations
Citations to this article as recorded by
Integration of a Safety Module to Prevent Rebound Hypoglycemia in Closed-Loop Artificial Pancreas Systems María F. Villa-Tamayo, Patricio Colmegna, Marc D. Breton Journal of Diabetes Science and Technology.2024; 18(2): 318. CrossRef
A new approach to stabilize diabetes systems with time-varying delays and disturbance rejection S. Syafiie, Fahd Alharbi, Abdullah Ali Alshehri, Bassam Hasanain Journal of the Franklin Institute.2024; 361(1): 543. CrossRef
Effects of Low-Dose Glucagon on Subcutaneous Insulin Absorption in Pigs Ingrid Anna Teigen, Marte Kierulf Åm, Misbah Riaz, Sverre Christian Christiansen, Sven Magnus Carlsen Current Therapeutic Research.2024; 100: 100736. CrossRef
Enhancing equity in access to automated insulin delivery systems in an ethnically and socioeconomically diverse group of children with type 1 diabetes John Pemberton, Louise Collins, Lesley Drummond, Renuka P Dias, Ruth Krone, Melanie Kershaw, Suma Uday BMJ Open Diabetes Research & Care.2024; 12(3): e004045. CrossRef
Robust Online Correlation Method for Identification of a Nonparametric Model of Type 1 Diabetes Martin Dodek, Eva Miklovičová IEEE Access.2024; 12: 35899. CrossRef
Comparison between a tubeless, on-body automated insulin delivery system and a tubeless, on-body sensor-augmented pump in type 1 diabetes: a multicentre randomised controlled trial Ji Yoon Kim, Sang-Man Jin, Eun Seok Kang, Soo Heon Kwak, Yeoree Yang, Jee Hee Yoo, Jae Hyun Bae, Jun Sung Moon, Chang Hee Jung, Ji Cheol Bae, Sunghwan Suh, Sun Joon Moon, Sun Ok Song, Suk Chon, Jae Hyeon Kim Diabetologia.2024; 67(7): 1235. CrossRef
Prevention and treatment of type 1 diabetes: in search of the ideal combination therapy targeting multiple immunometabolic pathways Marcelo Maia Pinheiro, Felipe Moura Maia Pinheiro, Maria Luisa Garo, Donatella Pastore, Francesca Pacifici, Camillo Ricordi, David Della-Morte, Marco Infante Metabolism and Target Organ Damage.2024;[Epub] CrossRef
Mitigating diabetes associated with reactive oxygen species (ROS) and protein aggregation through pharmacological interventions Giulia Bennici, Hanan Almahasheer, Mawadda Alghrably, Daniela Valensin, Arian Kola, Chrysoula Kokotidou, Joanna Lachowicz, Mariusz Jaremko RSC Advances.2024; 14(25): 17448. CrossRef
Real‐world glycaemic outcomes of automated insulin delivery in type 1 diabetes: A meta‐analysis Qin Yang, Baoqi Zeng, Jiayi Hao, Qingqing Yang, Feng Sun Diabetes, Obesity and Metabolism.2024; 26(9): 3753. CrossRef
Efficacy of advanced hybrid closed loop systems in cystic fibrosis related diabetes: a pilot study Marta Bassi, Daniele Franzone, Francesca Dufour, Giordano Spacco, Federico Cresta, Giuseppe d’Annunzio, Giacomo Tantari, Maria Grazia Calevo, Carlo Castellani, Nicola Minuto, Rosaria Casciaro Frontiers in Endocrinology.2024;[Epub] CrossRef
Emerging Technologies in Endocrine Drug Delivery: Innovations for Improved Patient Care Mahvish Renzu, Carly Hubers, Kendall Conway, Viktoriya Gibatova, Vidhi Mehta, Wael Taha Cureus.2024;[Epub] CrossRef
A stochastic model-based control methodology for glycemic management in the intensive care unit Melike Sirlanci, George Hripcsak, Cecilia C. Low Wang, J. N. Stroh, Yanran Wang, Tellen D. Bennett, Andrew M. Stuart, David J. Albers Frontiers in Medical Engineering.2024;[Epub] CrossRef
Advances in Type 1 Diabetes Mellitus Management in Children Mridu Bahal, Vineeta Pande, Jasleen Dua, Shailaja Mane Cureus.2024;[Epub] CrossRef
100 Years of insulin: A chemical engineering perspective B. Wayne Bequette Korean Journal of Chemical Engineering.2023; 40(1): 1. CrossRef
Efficacy of intermittent short‐term use of a real‐time continuous glucose monitoring system in non‐insulin–treated patients with type 2 diabetes: A randomized controlled trial Sun Joon Moon, Kyung‐Soo Kim, Woo Je Lee, Mi Yeon Lee, Robert Vigersky, Cheol‐Young Park Diabetes, Obesity and Metabolism.2023; 25(1): 110. CrossRef
Identifiable prediction animal model for the bi-hormonal intraperitoneal artificial pancreas Karim Davari Benam, Hasti Khoshamadi, Marte Kierulf Åm, Øyvind Stavdahl, Sebastien Gros, Anders Lyngvi Fougner Journal of Process Control.2023; 121: 13. CrossRef
Advances in Continuous Glucose Monitoring and Integrated Devices for Management of Diabetes with Insulin-Based Therapy: Improvement in Glycemic Control Jee Hee Yoo, Jae Hyeon Kim Diabetes & Metabolism Journal.2023; 47(1): 27. CrossRef
CGM accuracy: Contrasting CE marking with the governmental controls of the USA (FDA) and Australia (TGA): A narrative review John S Pemberton, Emma G Wilmot, Katharine Barnard‐Kelly, Lalantha Leelarathna, Nick Oliver, Tabitha Randell, Craig E Taplin, Pratik Choudhary, Peter Adolfsson Diabetes, Obesity and Metabolism.2023; 25(4): 916. CrossRef
Evaluation of awareness and attitude of paediatric nursing students, nurses, and adolescents regarding type one diabetes advanced devices and virtual nursing Howaida Moawad Ahmed Ali Kontakt.2023; 25(2): 100. CrossRef
Predicting the output error of the suboptimal state estimator to improve the performance of the MPC-based artificial pancreas Martin Dodek, Eva Miklovičová Control Theory and Technology.2023; 21(4): 541. CrossRef
A Markov Model of Gap Occurrence in Continuous Glucose Monitoring Data for Realistic in Silico Clinical Trials Martina Vettoretti, Martina Drecogna, Simone Del Favero, Andrea Facchinetti, Giovanni Sparacino Computer Methods and Programs in Biomedicine.2023; 240: 107700. CrossRef
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Intelligent Insulin vs. Artificial Intelligence for Type 1 Diabetes: Will the Real Winner Please Stand Up? Valentina Maria Cambuli, Marco Giorgio Baroni International Journal of Molecular Sciences.2023; 24(17): 13139. CrossRef
Artificial Intelligence in Efficient Diabetes Care Gopal Bhagwan Khodve, Sugato Banerjee Current Diabetes Reviews.2023;[Epub] CrossRef
The artificial pancreas: two alternative approaches to achieve a fully closed-loop system with optimal glucose control M. K. Åm, I. A. Teigen, M. Riaz, A. L. Fougner, S. C. Christiansen, S. M. Carlsen Journal of Endocrinological Investigation.2023;[Epub] CrossRef
Multivariable Automated Insulin Delivery System for Handling Planned and Spontaneous Physical Activities Mohammad Reza Askari, Mohammad Ahmadasas, Andrew Shahidehpour, Mudassir Rashid, Laurie Quinn, Minsun Park, Ali Cinar Journal of Diabetes Science and Technology.2023; 17(6): 1456. CrossRef
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The effects of acute hyperglycaemia on sports and exercise performance in type 1 diabetes: A systematic review and meta-analysis Bonar McGuire, Hashim Dadah, Dominic Oliver Journal of Science and Medicine in Sport.2023;[Epub] CrossRef
Artificial Pancreas under a Zone Model Predictive Control based on Gaussian Process models: toward the personalization of the closed loop Marco Polver, Beatrice Sonzogni, Mirko Mazzoleni, Fabio Previdi, Antonio Ferramosca IFAC-PapersOnLine.2023; 56(2): 9642. CrossRef
Personalized Constrained MPC for glucose regulation Chiara Toffanin, Lalo Magni IFAC-PapersOnLine.2023; 56(2): 9648. CrossRef
Automated Insulin Delivery Systems in Children and Adolescents With Type 1 Diabetes: A Systematic Review and Meta-analysis of Outpatient Randomized Controlled Trials Baoqi Zeng, Le Gao, Qingqing Yang, Hao Jia, Feng Sun Diabetes Care.2023; 46(12): 2300. CrossRef
Novel Glycemic Index Based on Continuous Glucose Monitoring to Predict Poor Clinical Outcomes in Critically Ill Patients: A Pilot Study Eun Yeong Ha, Seung Min Chung, Il Rae Park, Yin Young Lee, Eun Young Choi, Jun Sung Moon Frontiers in Endocrinology.2022;[Epub] CrossRef
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History of insulin treatment of pediatric patients with diabetes in Korea Jae Hyun Kim, Choong Ho Shin, Sei Won Yang Annals of Pediatric Endocrinology & Metabolism.2021; 26(4): 237. CrossRef
The use of information and communication technology (ICT) in medical and healthcare services goes beyond everyday life. Expectations of a new medical environment, not previously experienced by ICT, exist in the near future. In particular, chronic metabolic diseases such as diabetes and obesity, have a high prevalence and high social and economic burden. In addition, the continuous evaluation and monitoring of daily life is important for effective treatment and management. Therefore, the wide use of ICTbased digital health systems is required for the treatment and management of these diseases. In this article, we compiled a variety of digital health technologies introduced to date in the field of diabetes and metabolic diseases.
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