Meal Simulation Model of the Glucose-Insulin System

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Items 401–500 of 955

1. Ensemble Glucose Prediction in Insulin-Dependent Diabetes
   Fredrik L. Ståhl, Rolf Johansson, Éric Renard · 2014 · Lecture notes in bioengineering
2. LPV identification of the glucose-insulin dynamics in Type I diabetes
   V. Cerone, Dario Piga, D. Regruto, S. Berehanu · 2012 · IFAC Proceedings Volumes
3. Smith Predictor Sliding Mode Closed-loop Glucose Controller in Type 1 Diabetes
   Amjad Abu-Rmileh, Winston García-Gabín · 2011 · IFAC Proceedings Volumes
4. A Hybrid Neural Network Model Predictive Control with Zone Penalty Weights for Type 1 Diabetes Mellitus
   Shih-Wei Liu, Hsiao‐Ping Huang, Chia-Hung Lin, I‐Lung Chien · 2012 · Industrial & Engineering Chemistry Research
5. Comparison of PID based Control Algorithms for Daily Blood Glucose Control
   Selim Soylu, Kenan Danışman · 2016 · Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science
6. Automatic glycemic regulation for the pediatric population based on switched control and time-varying IOB constraints: an in silico study
   Emilia Fushimi, María Cecilia Serafini, Hernán De Battista, Fabricio Garelli · 2020 · Medical & Biological Engineering & Computing
7. Testing PFC Controller On A Well Validated In Silico Model of a Type I Diabetic Patient
   Germán Campetelli, David Zumoffen, MARTA S. BASUALDO, Alfredo Rigalli · 2010 · IFAC Proceedings Volumes
8. Effects of Pulsatile Subcutaneous Injections of Insulin Lispro on Plasma Insulin Concentration Levels
   Alice Chan, Marc D. Breton, Boris P. Kovatchev · 2008 · Journal of Diabetes Science and Technology
9. Genetically Engineered Proportional-Integral Feedback Controllers for Robust Perfect Adaptation in Mammalian Cells
   Timothy Frei, Ching-Hsiang Chang, Maurice Filo, A. Arampatzis, Mustafa Khammash · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
10. Long-acting Insulin in Diabetes Therapy: In Silico Clinical Trials with the UVA/Padova Type 1 Diabetes Simulator
    Visentin, Roberto, Schiavon, Michele, Giegerich, Clemens, Klabunde, Thomas, Man, Chiara Dalla, Cobelli, Claudio · 2018 · 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
11. Hybrid Stochastic–Machine Learning Framework for Postprandial Glucose Prediction in Type 1 Diabetes
    Irina Naskinova, Mikhail Kolev, Dilyana Karova, Mariyan Milev · 2025 · Algorithms
12. Influence of plasma macronutrient levels on hepatic metabolism: role of regulatory networks in homeostasis and disease states
    Pramod Rajaram Somvanshi, Anilkumar K. Patel, Sharad Bhartiya, K. V. Venkatesh · 2016 · RSC Advances
13. Delay in ATP-dependent calcium inflow may affect insulin secretion from pancreatic beta-cell
    Phonindra Nath Das, Suvankar Halder, Nandadulal Bairagi, Samrat Chatterjee · 2020 · Applied Mathematical Modelling
14. Hypoglycaemia Prediction Models With Auto Explanation
    Virginie Felizardo, Diogo Machado, Nuno M. García, Nuno Gonçalo Coelho Costa Pombo, Pedro Brandão · 2021 · IEEE Access
15. Minimal modeling of insulin secretion in the perfused rat pancreas: a drug effect case study
    Michela Riz, Morten Gram Pedersen, GIANNA MARIA TOFFOLO, Guido Haschke, Hans-Christoph Schneider, Thomas Klabunde, Daniel Margerie, Claudio Cobelli · 2014 · American Journal of Physiology-Endocrinology and Metabolism
16. Comparison of several data‐driven non‐linear system identification methods on a simplified glucoregulatory system example
    Anna Marconato, Maarten Schoukens, Koen Tiels, Widanalage Dhammika Widanage, Amjad Abu‐Rmileh, Johan Schoukens · 2014 · IET Control Theory and Applications
17. Neural Inverse Optimal Control via Passivity for Subcutaneous Blood Glucose Regulation in Type 1 Diabetes Mellitus Patients
    Blanca S. Leon, Alma Y. Alanís, Edgar Nelson Sanchez, Fernando Ornelas Tellez, Eduardo Ruiz-Velazquez · 2014 · Intelligent Automation & Soft Computing
18. A Review on Bio Informatics for Diabetic Mellitus
    D. Sudarsanam · 2012
19. A Robust Receding Horizon Control Approach to Artificial Glucose Control for Type 1 Diabetes
    Maxime Penet, Hervé Guéguen, Aziz Belmiloudi · 2013 · IFAC Proceedings Volumes
20. Endogenous glucose production after sequential meals in humans: evidence for more prolonged suppression after ingestion of a second meal
    Teddy Ang, Greg M. Kowalski, Clinton R. Bruce · 2018 · American Journal of Physiology-Endocrinology and Metabolism
21. Glucose Regulation for Subjects with Type 1 Diabetes Using Active Disturbance Rejection Control
    Deheng Cai, Jiliang Song, Junzheng Wang, Dawei Shi · 2019 · Chinese Control Conference (CCC)
22. Identifier based intelligent blood glucose concentration regulation for type 1 diabetic patients: An adaptive fuzzy approach
    Tsung-Chih Lin, Cheng-You Li, Pin-Fan Chen, Wei‐Kai Chen, Rajeeb Dey, Marius M. Bǎlaş, Teodora Olariu, Wai-Shing Wong · 2020 · Journal of Intelligent & Fuzzy Systems
23. Smart Artificial Pancreas with Diet Recommender System for Elderly Diabetes
    Padmapritha Thamotharan, B. Subathra, Münevver Mine ÖZYETKİN, Seshadhri Srinivasan, Korkut Bekirogulu, Jothydev Kesavadev, Gopika Krishnan, Geethu Sanal · 2020 · IFAC-PapersOnLine
24. Unveiling Interpretable Key Performance Indicators in Hypoxic Response: A System Identification Approach
    Jing Chen, Rong Xiao, Lei Wang, Lingling Zhu, Dawei Shi · 2021 · IEEE Transactions on Industrial Electronics
25. Maximizing performance of linear model predictive control of glycemia for T1DM subjects
    Martin Dodek, Eva Miklovičová · 2022 · Archives of Control Sciences
26. A model for the hepatic glucose metabolism based on Hill and step functions
    Marcello D’Abbicco, Nicoletta Del Buono, Patrizia Gena, Marco Berardi, Giuseppe Calamita, Luciano Lopez · 2015 · Journal of Computational and Applied Mathematics
27. Modeling and Prediction in Diabetes Physiology
    Marzia Cescon · 2013 · Lund University Publications (Lund University)
28. The Minimally-Invasive Oral Glucose Minimal Model: Estimation of Gastric Retention, Glucose Rate of Appearance, and Insulin Sensitivity From Type 1 Diabetes Data Collected in Real-Life Conditions
    Edoardo Faggionato, Michele Schiavon, Laya Ekhlaspour, Bruce A. Buckingham, Chiara Dalla Man · 2023 · IEEE Transactions on Biomedical Engineering
29. Identification of individualised empirical models of carbohydrate and insulin effects on T1DM blood glucose dynamics
    Marzia Cescon, Rolf Johansson, Éric Renard, Alberto Maran · 2014 · International Journal of Control
30. Application of MPC incorporating Stochastic Programming to Type 1 diabetes treatment
    Graham C. Goodwin, Adrian M. Medioli, Hieu V. Phan, Bruce R. King, Aaron D. Matthews · 2016 · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
31. Asymptotic tracking and disturbance rejection of the blood glucose regulation system
    Brandon K. Ashley, Weijiu Liu · 2017 · Mathematical Biosciences
32. A Bayesian Framework to Identify Type 1 Diabetes Physiological Models Using Easily Accessible Patient Data
    Giacomo Cappon, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero · 2019 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
33. Novel algebraic meal disturbance estimation based adaptive robust control design for blood glucose regulation in type 1 diabetes patients
    Nasim Ullah, Al‐Sharef Muhammad · 2020 · IET Systems Biology
34. Master–slave synchronization for glucose–insulin metabolism of type-1 diabetic Mellitus model based on new fractal–fractional order derivative
    N. Ramesh Babu, Pagavathigounder Balasubramaniam · 2022 · Mathematics and Computers in Simulation
35. Deep reinforcement learning for closed-loop blood glucose control: two approaches
    Francesco Di Felice, Alessandro Borri, Maria Domenica Di Benedetto · 2022 · IFAC-PapersOnLine
36. Estimation of process noise variances from the measured output sequence with application to the empirical model of type 1 diabetes
    Martin Dodek, Eva Miklovičová · 2023 · Biomedical Signal Processing and Control
37. SAAM II : A general mathematical modeling rapid prototyping environment
    Simone Perazzolo · 2024 · CPT Pharmacometrics & Systems Pharmacology
38. Multiscale modeling of solid starch-based foods digestion in the intestinal tract for dietary property-based glycemic prediction
    Yifan Qin, Jie Xiao, Aibing Yu, Xiao Dong Chen · 2024 · Food Research International
39. A new insulin-glucose metabolic model of type 1 diabetes mellitus: An in silico study
    Qiang Fang, Lei Yu, Peng Li · 2015 · Computer Methods and Programs in Biomedicine
40. Insulin injections and exercise scheduling for individuals with diabetes: An optimal control model
    Zahra Al Helal, Volker Rehbock, Ryan C. Loxton · 2017 · Optimal Control Applications and Methods
41. Applications of MPC in the Area of Health Care
    Graham C. Goodwin, Adrian M. Medioli, Karen Bridget Murray, Rebecca Sykes, Carly Stephen · 2018 · Control engineering
42. Black-box Model Identification of Physical Activity in Type-l Diabetes Patients
    Simone Faccioli, Başak Özaslan, José Garcia‐Tirado, Marc D. Breton, Simone Del Favero · 2018 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
43. Consistency of compact and extended models of glucose-insulin homeostasis: The role of variable pancreatic reserve
    Andrea De Gaetano, Claudio Gaz, Simona Panunzi · 2019 · PLoS ONE
44. Comparison of several data-driven non-linear system identification methods on a simplified glucoregulatory system example
    Anna Marconato, Schoukens, M, Koen Tiels, Widanalage Dhammika Widanage, Amjad Abu-Rmileh, Schoukens, JFM · 2014 · TU/e Research Portal
45. A New Meal Absorption Model for Artificial Pancreas Systems
    Travis Diamond, Faye M. Cameron, B. Wayne Bequette · 2021 · Journal of Diabetes Science and Technology
46. Robust controller for artificial pancreas for patients with type-1 diabetes
    Sharmistha Mandal, Ashoke Sutradhar · 2023 · Research on Biomedical Engineering
47. Tailoring the Padova Type 2 Diabetes Simulator for Treatment Guidance in Target Populations
    ROBERTO VISENTIN, Michele Schiavon, Jacopo Bonet, Michela Riz, Britta Wagenhuber, Chiara Dalla Man · 2024 · IEEE Transactions on Biomedical Engineering
48. Personalized metabolic profile estimations using oral glucose tolerance tests
    Young Boum Lee, Jeong Hoon Lee, Eun Seok Park, Ga Yul Kim, Chae Hun Leem · 2014 · Progress in Biophysics and Molecular Biology
49. Robust tube-based predictive control of blood glucose concentration in type 1 diabetes
    Harald Kirchsteiger, Luigi del Re · 2013 · IEEE Conference on Decision and Control (CDC)
50. Recent advances in mathematical models for the understanding and treatment of Type 1 Diabetes Mellitus
    Laura Lema-Pérez, Estefanía Aguirre-Zapata, José Garcia‐Tirado · 2015 · IEEE Colombian Conference on Automatic Control (CCAC)
51. Recent Results on Glucose–Insulin Predictions by Means of a State Observer for Time Delay Systems
    Pasquale J Palumbo, Pierdomenico Pepe, Simona Panunzi, Andrea De Gaetano · 2015 · Lecture notes in bioengineering
52. Swarm hybrid optimization for a piecewise model fitting applied to a glucose model
    L. Acedo, Marta Botella, J.‐C. Cortés, José Ignacio Hidalgo, Esther Maqueda, Rafael Jacinto Villanueva · 2018 · Journal of Systems and Information Technology
53. A model based bolus calculator for blood glucose control in type 1 diabetes
    Harald Kirchsteiger, Luigi del Re · 2014 · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
54. On the Optimal Design of Clinical Tests for the Identification of Physiological Models of Type 1 Diabetes Mellitus
    Federico Galvanin, Massimiliano Barolo, Sandro Macchietto, Fabrizio Bezzo · 2009 · Computer-aided chemical engineering/Computer aided chemical engineering
55. Improved detection of decreased glucose handling capacities via continuous glucose monitoring-derived indices
    Hikaru Sugimoto, Ken‐ichi Hironaka, Tomoaki Nakamura, Tomoko Yamada, Hiroshi Miura, Natsu Otowa‐Suematsu, Masashi Fujii, Yushi Hirota, Kazuhiko Sakaguchi, Wataru Ogawa et al. · 2025 · Communications Medicine
56. SystematicallyIn SilicoComparison of Unihormonal and Bihormonal Artificial Pancreas Systems
    Xiaoteng Gao, Huangjiang Ning, Youqing Wang · 2013 · Computational and Mathematical Methods in Medicine
57. E-DES-PROT: A novel computational model to describe the effects of amino acids and protein on postprandial glucose and insulin dynamics in humans
    Bart van Sloun, Gijs H. Goossens, Balázs Erdõs, Shauna D. O’Donovan, Cécile M. Singh‐Povel, Jan M.W. Geurts, Natal A. W. van Riel, Ilja C.W. Arts · 2023 · iScience
58. Glucose Rate-of-Change and Insulin-on-Board Jointly Weighted Zone Model Predictive Control
    Sunil Deshpande, Francis J. Doyle, Eyal Dassau · 2023 · IEEE Transactions on Control Systems Technology
59. Intelligent Classification and Diagnosis of Diabetes and Impaired Glucose Tolerance Using Deep Neural Networks
    Alma Y. Alanís, Oscar D. Sánchez, Alonso Vaca-González, Eduardo Rangel-Heras · 2023 · Mathematics
60. Using Reinforcement Learning to Simplify Mealtime Insulin Dosing for People with Type 1 Diabetes: In-Silico Experiments
    Anas El Fathi, Marc D. Breton · 2023 · IFAC-PapersOnLine
61. A constrained robust Markovian control approach with robust Kalman filter for fully automated insulin delivery systems
    David L. Rodríguez-Sarmiento, Andrés L. Jutinico, Fabian Mauricio León Vargas · 2024 · Biomedical Signal Processing and Control
62. Improved blood glucose control for critically ill subjects
    Matteo Ottavian, Massimiliano Barolo, Howard Zisser, Eyal Dassau, Dale E. Seborg · 2010 · Journal of Process Control
63. Quasi In-Silico Validations of a Nonlinear LPV Model-based Robust Glucose Control Algorithm for Type I Diabetes
    Levente Kovács, Péter Szalay, Zsuzsanna Almássy, Zoltán Benyó, László Barkai · 2011 · IFAC Proceedings Volumes
64. In silico Models of Alcohol Dependence and Treatment
    Boris P. Kovatchev, Marc D. Breton, Bankole A. Johnson · 2012 · Frontiers in Psychiatry
65. Model-based control algorithms for optimal therapy of high-impact public health diseases
    Levente Kovács, P. Szalay, Tamás Ferenci, Johanna Sápi, Péter István Sas, Dániel András Drexler, István Harmati, Balázs István Benyó, Adalbert Kovács · 2012 · IEEE International Conference on Intelligent Engineering Systems (INES)
66. A multi‐objective optimal insulin bolus advisor for type 1 diabetes based on personalized model and daily diet
    Mohammad Fakhroleslam, Ramin Bozorgmehry Boozarjomehry · 2021 · Asia-Pacific Journal of Chemical Engineering
67. A methodical survey of mathematical model-based control techniques based on open and closed loop control approach for diabetes management
    Ankit Sharma, Harendra Pal Singh, Nilam · 2022 · International Journal of Biomathematics
68. A novel model-based estimator for real-time prediction of insulin-on-board
    Eleonora M. Aiello, Kelilah L. Wolkowicz, Jordan E. Pinsker, Eyal Dassau, Francis J. Doyle · 2022 · Chemical Engineering Science
69. Modelling of the Insulin Delivery System for patients with Type 1 Diabetes Mellitus
    Stamatina Zavitsanou, Nicki Panoskaltsi, Athanasios Mantalaris, Michael C. Georgiadis, Efstratios N. Pistikopoulos · 2011 · Computer-aided chemical engineering/Computer aided chemical engineering
70. DDE Models of the Glucose-Insulin System: A Useful Tool for the Artificial Pancreas
    Jude Dzevela Kong, Sreedhar Saseendran Kumar, Pasquale J Palumbo · 2014 · Springer proceedings in mathematics & statistics
71. Mathematical Modeling of the Human Energy Metabolism Based on the Selfish Brain Theory
    Matthias Chung, Britta Göbel · 2011 · Advances in experimental medicine and biology
72. A polynomial modeling and state feedback control of blood glucose regulatory in diabetic patients
    Hasan Zakeri, Sadjaad Ozgoli · 2012 · International Conference on Intelligent and Advanced Systems
73. High-Order Sliding-Mode control of blood glucose concentration via practical relative degree identification
    Ana Gabriela Gallardo-Hernández, Leonid M. Fridman, Arie Levant, Yuri B. Shtessel, Ron S. Leder, M. Revilla, Sergio Islas Andrade · 2011 · IEEE Conference on Decision and Control (CDC)
74. Recent Trends in Blood Glucose Control Studies
    2015 · Automatic Control of Physiological State and Function
75. Applications of analysis of dynamic adaptations in parameter trajectories
    Natal A. W. van Riel, Christian A. Tiemann, Joep Vanlier, P.A.J. Hilbers · 2013 · Interface Focus
76. Prediction of Dynamic Glycemic Trends Using Optimal State Estimation
    Matthew W. Percival, Wendy C. Bevier, Howard Zisser, Lois G. Jovanovic, Dale E. Seborg, Francis J. Doyle · 2008 · IFAC Proceedings Volumes
77. Physiology-Based Interval Models: A Framework for Glucose Prediction Under Intra-patient Variability
    Jorge Bondía, Josep Vehı́ · 2015 · Lecture notes in bioengineering
78. Parametric Identification of Sorensen model for glucose-insulin-carbohydrates dynamics using evolutive algorithms
    Eduardo Ruiz-Velazquez, Oscar D. Sánchez, Griselda Quiroz, Guillermo O. Pulido · 2018 · Kybernetika
79. Glycemic Control of People With Type 1 Diabetes Based on Probabilistic Constraints
    Souransu Nandi, Tarunraj Singh · 2018 · IEEE Journal of Biomedical and Health Informatics
80. H ∞ controller and observer synthesis with delay and nonlinear perturbation of double diabetes systems
    S. Syafiie · 2020 · ISA Transactions
81. A Simple Soft Computing Structure for Modeling and Control
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82. Optimal State Estimation for the Artificial Pancreas
    Martin Dodek, Eva Miklovičová · 2022 · International Carpathian Control Conference
83. In Silico Testing and in Vivo Experiments with Closed-Loop Control of Blood Glucose in Diabetes
    Boris P. Kovatchev, Davide Martino Raimondo, Marc D. Breton, Stephen D. Patek, Claudio Cobelli · 2008 · IFAC Proceedings Volumes
84. Simulation Work for the Control of Blood Glucose Level in Type 1 Diabetes Using Hovorka Equations
    Nur Farhana Mohd Yusof, Ayub Md Som, Sherif Abdulbari Ali, Aqilah Liyana binti Abdul Halim Anuar · 2015 · Advanced materials research
85. Metaheuristic Patient Estimation Based Patient-Specific Fuzzy Aggregated Artificial Pancreas Design
    Victor Kirubakaran, Thota Karunakaran Radhakrishnan, N. Sivakumaran · 2014 · Industrial & Engineering Chemistry Research
86. Generalized extended state observer design for the estimation of the rate of glucose appearance in artificial pancreas
    I. Sala, José-Luis Díez, Jorge Bondía · 2018 · European Control Conference (ECC)
87. Physiological models for artificial pancreas development
    ROBERTO VISENTIN, Michele Schiavon, Rita Basu, Ananda Basu, Chiara Dalla Man, Claudio Cobelli · 2019 · Elsevier eBooks
88. Parameter discovery in stochastic biological models using simulated annealing and statistical model checking
    Faraz Hussain, Sumit Kumar Jha, Susmit Jha, CHRISTOPHER JAMES LANGMEAD · 2014 · International Journal of Bioinformatics Research and Applications
89. End-to-end offline reinforcement learning for glycemia control
    Tristan Beolet, Alice Adenis, Erik Huneker, Maxime Louis · 2024 · Artificial Intelligence in Medicine
90. Physiologically inspired spatiotemporal adaptive multimodal fusion model for blood glucose prediction
    Yifan Yin, Zhihao Zhao, Jingtong Na, Chun‐Dong Xue, Kai‐Rong Qin · 2025 · Biomedical Signal Processing and Control
91. Cyber–physical–human systems in precision medicine: Advances in artificial pancreas for treatment of diabetes
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92. Deep Deterministic Policy Gradient Control of Type 1 Diabetes
    Federico Baldisseri, Danilo Menegatti, Andrea Wrona · 2024 · European Control Conference (ECC)
93. Patient-specific performance evaluation for insulin control systems
    Anastasia Winkler, Harald Kirchsteiger, Luigi del Re, Éric Renard · 2011 · IEEE Conference on Decision and Control (CDC)
94. Modeling of Glucose-Insulin System Dynamics in Diabetic Goettingen Minipigs
    Katrin Lunze, Tarunraj Singh, Steffen K. Leonhardt · 2012 · IFAC Proceedings Volumes
95. Modelling the effect of insulin on the disposal of meal-attributable glucose in type 1 diabetes
    Fernando García-García, Roman Hovorka, Malgorzata E. Wilinska, Daniela Elleri, M. Elena Hernando · 2016 · Medical & Biological Engineering & Computing
96. Modelling of glucose-insulin dynamics from low sampled data
    Tinna Björk Aradóttir, Dimitri Boiroux, Henrik L. Bengtsson, Niels Kjølstad Poulsen · 2018 · IFAC-PapersOnLine
97. Combining short and long-term models for predicting blood glucose concentrations on diabetic patients
    Lucas O. Griva, Rodrigo Martinez, MARTA S. BASUALDO · 2019 · Workshop on Information Processing and Control
98. Robust Polytopic-LPV Body-Weight-Dependent Control of Blood Glucose in Type-1 Diabetes
    Navid Vafamand, Mohammad Hassan Asemani, Saleh Mobayen, Gisela Pujol · 2021 · IEEE Access
99. Dynamic of Glucose Homeostasis in Virtual Patients: A Comparison between Different Behaviors
    Alexis Alonso‐Bastida, Manuel Adam‐Medina, R. Posada, Dolores Azucena Salazar-Piña, Gloria Lilia Osorio-Gordillo, Luis Gerardo Vela Valdés · 2022 · International Journal of Environmental Research and Public Health
100. Evaluating Prediction of Continuous Clinical Values: A Glucose Case Study
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