AIMC Topic: Insulin Infusion Systems
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Research Gaps, Challenges, and Opportunities in Automated Insulin Delivery Systems.
Journal of diabetes science and technology
Jul 1, 2025
BACKGROUND: Since the discovery of the life-saving hormone insulin in 1921 by Dr Frederick Banting in 1921, there have been many critical discoveries and technical breakthroughs that have enabled people living with type 1 diabetes (T1D) to live longe...
Prediction and accuracy improvement of insulin pump in-fusion deviation based on LSTM and PID.
PloS one
Jun 4, 2025
In order to further improve the injection precision of the PH300 insulin pump, this paper optimizes and improves the mechanical structure and control algorithm of the PH300. The improved PH300 uses a proportional-integral-derivative controller based ...
Personalized glucose forecasting for people with type 1 diabetes using large language models.
Computer methods and programs in biomedicine
Apr 2, 2025
BACKGROUND AND OBJECTIVE: Type 1 Diabetes (T1D) is an autoimmune disease that requires exogenous insulin via Multiple Daily Injections (MDIs) or subcutaneous pumps to maintain targeted glucose levels. Despite the advances in Continuous Glucose Monito...
A safe-enhanced fully closed-loop artificial pancreas controller based on deep reinforcement learning.
PloS one
Jan 27, 2025
Patients with type 1 diabetes and their physicians have long desired a fully closed-loop artificial pancreas (AP) system that can alleviate the burden of blood glucose regulation. Although deep reinforcement learning (DRL) methods theoretically enabl...
Predictors of glycaemic improvement in children and young adults with type 1 diabetes and very elevated HbA1c using the MiniMed 780G system.
Diabetes, obesity & metabolism
Jan 20, 2025
AIMS: This study aimed to identify key factors with the greatest influence on glycaemic outcomes in young individuals with type 1 diabetes (T1D) and very elevated glycaemia after 3 months of automated insulin delivery (AID).
Parental perspectives following the implementation of advanced hybrid closed-loop therapy in children and adolescents with type 1 diabetes and elevated glycaemia.
Diabetic medicine : a journal of the British Diabetic Association
Nov 25, 2024
AIMS: To identify from a parental perspective facilitators and barriers of effective implementation of advanced hybrid closed-loop (AHCL) therapy in children and adolescents with type 1 diabetes (T1D) with elevated glycaemia.
An automatic deep reinforcement learning bolus calculator for automated insulin delivery systems.
Scientific reports
Jul 2, 2024
In hybrid automatic insulin delivery (HAID) systems, meal disturbance is compensated by feedforward control, which requires the announcement of the meal by the patient with type 1 diabetes (DM1) to achieve the desired glycemic control performance. Th...
A Deep Learning Framework for Automatic Meal Detection and Estimation in Artificial Pancreas Systems.
Sensors (Basel, Switzerland)
Jan 8, 2022
Current artificial pancreas (AP) systems are hybrid closed-loop systems that require manual meal announcements to manage postprandial glucose control effectively. This poses a cognitive burden and challenge to users with T1D since this relies on freq...
Assessment of medication self-administration using artificial intelligence.
Nature medicine
Mar 18, 2021
Errors in medication self-administration (MSA) lead to poor treatment adherence, increased hospitalizations and higher healthcare costs. These errors are particularly common when medication delivery involves devices such as inhalers or insulin pens. ...
Intelligent automated drug administration and therapy: future of healthcare.
Drug delivery and translational research
Jan 14, 2021
In the twenty-first century, the collaboration of control engineering and the healthcare sector has matured to some extent; however, the future will have promising opportunities, vast applications, and some challenges. Due to advancements in processi...
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