These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

118 related articles for article (PubMed ID: 38705952)

  • 1. Observer-based control for plasma glucose regulation in type 1 diabetes mellitus patients with unknown input delay.
    Targui B; Castro-Gomez JF; Hernández-González O; Valencia-Palomo G; Guerrero-Sánchez ME
    Int J Numer Method Biomed Eng; 2024 Jul; 40(7):e3826. PubMed ID: 38705952
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Positive input observer-based controller design for blood glucose regulation for type 1 diabetic patients: A backstepping approach.
    Homayounzade M
    IET Syst Biol; 2022 Sep; 16(5):157-172. PubMed ID: 35975823
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Internal model control based module for the elimination of meal and exercise announcements in hybrid artificial pancreas systems.
    Sala-Mira I; Garcia P; Díez JL; Bondia J
    Comput Methods Programs Biomed; 2022 Nov; 226():107061. PubMed ID: 36116400
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multivariable adaptive closed-loop control of an artificial pancreas without meal and activity announcement.
    Turksoy K; Bayrak ES; Quinn L; Littlejohn E; Cinar A
    Diabetes Technol Ther; 2013 May; 15(5):386-400. PubMed ID: 23544672
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Enhancing automatic closed-loop glucose control in type 1 diabetes with an adaptive meal bolus calculator - in silico evaluation under intra-day variability.
    Herrero P; Bondia J; Adewuyi O; Pesl P; El-Sharkawy M; Reddy M; Toumazou C; Oliver N; Georgiou P
    Comput Methods Programs Biomed; 2017 Jul; 146():125-131. PubMed ID: 28688482
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Adaptive fuzzy integral sliding mode control of blood glucose level in patients with type 1 diabetes: In silico studies.
    Asadi S; Nekoukar V
    Math Biosci; 2018 Nov; 305():122-132. PubMed ID: 30201283
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Incorporating Unannounced Meals and Exercise in Adaptive Learning of Personalized Models for Multivariable Artificial Pancreas Systems.
    Hajizadeh I; Rashid M; Turksoy K; Samadi S; Feng J; Sevil M; Hobbs N; Lazaro C; Maloney Z; Littlejohn E; Cinar A
    J Diabetes Sci Technol; 2018 Sep; 12(5):953-966. PubMed ID: 30060699
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A bio-inspired glucose controller based on pancreatic β-cell physiology.
    Herrero P; Georgiou P; Oliver N; Johnston DG; Toumazou C
    J Diabetes Sci Technol; 2012 May; 6(3):606-16. PubMed ID: 22768892
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Adaptive Control of an Artificial Pancreas Using Model Identification, Adaptive Postprandial Insulin Delivery, and Heart Rate and Accelerometry as Control Inputs.
    Resalat N; Hilts W; Youssef JE; Tyler N; Castle JR; Jacobs PG
    J Diabetes Sci Technol; 2019 Nov; 13(6):1044-1053. PubMed ID: 31595784
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Postprandial fuzzy adaptive strategy for a hybrid proportional derivative controller for the artificial pancreas.
    Beneyto A; Vehi J
    Med Biol Eng Comput; 2018 Nov; 56(11):1973-1986. PubMed ID: 29725915
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A fully artificial pancreas versus a hybrid artificial pancreas for type 1 diabetes: a single-centre, open-label, randomised controlled, crossover, non-inferiority trial.
    Tsoukas MA; Majdpour D; Yale JF; Fathi AE; Garfield N; Rutkowski J; Rene J; Legault L; Haidar A
    Lancet Digit Health; 2021 Nov; 3(11):e723-e732. PubMed ID: 34580055
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A critical assessment of algorithms and challenges in the development of a closed-loop artificial pancreas.
    Bequette BW
    Diabetes Technol Ther; 2005 Feb; 7(1):28-47. PubMed ID: 15738702
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Glucose-responsive insulin and glucagon delivery (dual-hormone artificial pancreas) in adults with type 1 diabetes: a randomized crossover controlled trial.
    Haidar A; Legault L; Dallaire M; Alkhateeb A; Coriati A; Messier V; Cheng P; Millette M; Boulet B; Rabasa-Lhoret R
    CMAJ; 2013 Mar; 185(4):297-305. PubMed ID: 23359039
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An improved PID switching control strategy for type 1 diabetes.
    Marchetti G; Barolo M; Jovanovic L; Zisser H; Seborg DE
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():5041-4. PubMed ID: 17947128
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Closed-loop artificial pancreas using subcutaneous glucose sensing and insulin delivery and a model predictive control algorithm: preliminary studies in Padova and Montpellier.
    Bruttomesso D; Farret A; Costa S; Marescotti MC; Vettore M; Avogaro A; Tiengo A; Dalla Man C; Place J; Facchinetti A; Guerra S; Magni L; De Nicolao G; Cobelli C; Renard E; Maran A
    J Diabetes Sci Technol; 2009 Sep; 3(5):1014-21. PubMed ID: 20144414
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Feedforward-feedback multiple predictive controllers for glucose regulation in type 1 diabetes.
    Abu-Rmileh A; Garcia-Gabin W
    Comput Methods Programs Biomed; 2010 Jul; 99(1):113-23. PubMed ID: 20430467
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Hypoglycemia prevention via pump attenuation and red-yellow-green "traffic" lights using continuous glucose monitoring and insulin pump data.
    Hughes CS; Patek SD; Breton MD; Kovatchev BP
    J Diabetes Sci Technol; 2010 Sep; 4(5):1146-55. PubMed ID: 20920434
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of intraday metabolic profiles during closed-loop glucose control in individuals with type 1 diabetes.
    Kanderian SS; Weinzimer S; Voskanyan G; Steil GM
    J Diabetes Sci Technol; 2009 Sep; 3(5):1047-57. PubMed ID: 20144418
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Closed-loop artificial pancreas using subcutaneous glucose sensing and insulin delivery and a model predictive control algorithm: the Virginia experience.
    Clarke WL; Anderson S; Breton M; Patek S; Kashmer L; Kovatchev B
    J Diabetes Sci Technol; 2009 Sep; 3(5):1031-8. PubMed ID: 20144416
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The challenges of achieving postprandial glucose control using closed-loop systems in patients with type 1 diabetes.
    Gingras V; Taleb N; Roy-Fleming A; Legault L; Rabasa-Lhoret R
    Diabetes Obes Metab; 2018 Feb; 20(2):245-256. PubMed ID: 28675686
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.