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A safe-enhanced fully closed-loop artificial pancreas controller based on deep reinforcement learning.
PLoS One
January 2025
Institute of Visual Informatics, The National University of Malaysia (UKM), Bangi, Malaysia.
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 enable adaptive insulin dosing control, they face numerous challenges, including safety and training efficiency, which have hindered their clinical application. This paper proposes a safe and efficient adaptive insulin delivery controller based on DRL.
View Article and Find Full Text PDFImpact of CB1 receptor antagonism on skeletal muscle hypertrophy and metabolic health: a systematic review of preclinical studies.
Hormones (Athens)
January 2025
LABIOEX-Exercise Biology Lab, Department of Health Sciences, UFSC-Federal University of Santa Catarina, Araranguá, SC, Brazil.
The endocannabinoid system (ECS), regulating such processes as energy homeostasis, inflammation, and muscle function, centers around cannabinoid receptors, including CB1. These receptors are mainly located in the central nervous system and skeletal muscles. Hyperactivity of CB1 receptors is linked to metabolic disorders and chronic inflammation, highlighting their potential as therapeutic targets for muscle hypertrophy and metabolic health.
View Article and Find Full Text PDFEValuating Glucose ContrOL Using a Next-GeneraTION Automated Insulin Delivery Algorithm in Patients with Type 1 and Type 2 Diabetes: The EVOLUTION Study.
Diabetes Technol Ther
January 2025
Department of Paediatrics, University of Otago, Christchurch, New Zealand.
This study evaluated a next-generation automated insulin delivery (AID) algorithm for Omnipod in type 1 and type 2 diabetes across multiple phases: 14-day run-in with usual therapy, 48-h AID use in a hotel setting (type 1 only), and up to 6 weeks of outpatient AID use. Participants did, or did not, deliver manual boluses at alternating periods. Twelve adults with type 1 diabetes completed the hotel phase; 9 of those 12 plus 8 adults with type 2 diabetes completed the subsequent outpatient phase.
View Article and Find Full Text PDFModulation of placental angiogenesis by metformin in a rat model of gestational diabetes.
Histochem Cell Biol
January 2025
Medical Histology and Cell Biology Department, Faculty of Medicine, Mansoura University, Mansoura, 35516, Egypt.
Gestational diabetes mellitus (GDM) significantly disrupts placental structure and function, leading to complications such as intrauterine growth restriction (IUGR) and preeclampsia. This study aimed to investigate the effects of GDM on placental histology, angiogenesis, and oxidative stress, as well as evaluate metformin's protective role in mitigating these changes. A total of 60 pregnant Sprague-Dawley rats were divided into four groups: control, metformin-treated, GDM, and GDM with metformin.
View Article and Find Full Text PDFPostprandial time in tight range with faster insulin aspart compared with standard insulin aspart in youth with type 1 diabetes using automated insulin delivery.
Diabetes Obes Metab
January 2025
Department of Endocrinology, Diabetes and Metabolism, University Children's Hospital, Ljubljana, Slovenia.
Aims: The aim of this study was to assess postprandial glycaemic outcomes using automated insulin delivery with faster acting insulin aspart (FIA) or standard insulin aspart (SIA) over 4 weeks in youth (aged 10-18 years) with type 1 diabetes.
Materials And Methods: We undertook a secondary analysis of postprandial glycaemic outcomes from a double-blind, randomised, crossover study comparing FIA to SIA using an investigational version of MiniMed™ 780G. Endpoints included postprandial time in tight range (70-140 mg/dL; TITR), postprandial glucose excursions and peak glucose, and incremental area under curve (iAUC).
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