Meal Simulation Model of the Glucose-Insulin System

Dalla Man, Chiara, Rizza, Robert A., Cobelli, Claudio·2007·IEEE Transactions on Biomedical Engineering
DOI 10.1109/tbme.2007.893506

Cited by (955)

Items 501–600 of 955

  1. A minimal model of glucose-stimulated insulin secretion process explores factors responsible for the development of type 2 diabetes
    Abhijit Paul, Phonindra Nath Das, Samrat Chatterjee · 2022 · Applied Mathematical Modelling
  2. Performance improvement and Lyapunov stability analysis of nonlinear systems using hybrid optimization techniques
    Vishal Srivastava, Smriti Srivastava, Gopal Chaudhary, Xiomara Patricia Blanco Valencia · 2022 · Expert Systems
  3. Robust Online Correlation Method for Identification of a Nonparametric Model of Type 1 Diabetes
    Martin Dodek, Eva Miklovičová · 2024 · IEEE Access
  4. Solving Robust Glucose-Insulin Control by Dixon Resultant Computations
    Laura Kovács, Béla Paláncz, Levente Kovács · 2012 · International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)
  5. Model Predictive Control of Type 1 Diabetes
    Lalo Magni · 2012 · IFAC Proceedings Volumes
  6. The homeostatic dynamics of feeding behaviour identify novel mechanisms of anorectic agents
    Thomas McGrath, Eleanor Spreckley, Aina Fernandez Rodriguez, Carlo Fiore Viscomi, Amin Alamshah, Elina Akalestou, Kevin G. Murphy, Nick S. Jones · 2019 · PLoS Biology
  7. CarbMetSim: A discrete-event simulator for carbohydrate metabolism in humans
    Mukul Goyal, Buket Aydas, Husam Ghazaleh, Sanjay Rajasekharan · 2020 · PLoS ONE
  8. In Silico Cloning of Target Type 2 Diabetes Population for Treatments Development and Decision Support
    ROBERTO VISENTIN, Michele Schiavon, Chiara Dalla Man · 2020 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  9. Quasi-Model-Based Control of Type 1 Diabetes Mellitus
    András György, Levente Kovács, Péter Szalay, Dániel András Drexler, Balázs István Benyó, Zoltán Benyó · 2011 · Journal of Electrical and Computer Engineering
  10. Fuzzy high-order sliding-mode control of blood glucose concentration
    Soudabeh Taghian Dinani, Maryam Zekri, Behzad Nazari · 2013 · International Conference on Computer and Knowledge Engineering
  11. Estimation of parameters for plasma glucose regulation in type‐2 diabetics in presence of meal
    Prova Biswas, Ashoke Sutradhar, Pallab Datta · 2017 · IET Systems Biology
  12. Integrating Economic Model Predictive Control and Event-Triggered Control: Application to Bi-Hormonal Artificial Pancreas System
    Xin Ma, Fengna Tang, Xiao Shen · 2018 · IEEE Access
  13. Sparse Reconstruction of Glucose Fluxes Using Continuous Glucose Monitors
    Ali Al-Matouq, Taous‐Meriem Laleg‐Kirati, Carlo Novara, Ivana Rabbone, Tyrone L. Vincent · 2019 · IEEE Transactions on Computational Biology and Bioinformatics
  14. Simulation Models for In-Silico Evaluation of Closed-Loop Insulin Delivery Systems in Type 1 Diabetes
    Malgorzata E. Wilinska, Roman Hovorka · 2014 · Lecture notes in bioengineering
  15. Model based validation of meal inputs in diabetes therapy
    Giovanna Castillo Estrada, Harald Kirchsteiger, Luigi del Re, Éric Renard · 2009 · IFAC Proceedings Volumes
  16. Bayesian combination of multiple plasma glucose predictors
    Fredrik L. Ståhl, Rolf Johansson, Éric Renard · 2012 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  17. A methodology for the comparison of traditional MPC and stochastic MPC in the context of the regulation of blood glucose levels in Type 1 diabetics
    Maria Marta Seron, Adrian M. Medioli, Graham C. Goodwin · 2016 · Australian Control Conference
  18. Towards a decision support system for post bariatric hypoglycaemia: development of forecasting algorithms in unrestricted daily-life conditions
    Francesco Prendin, Olivia Streicher, Giacomo Cappon, Eva Rolfes, David Herzig, Lia Bally, Andrea Facchinetti · 2025 · BMC Medical Informatics and Decision Making
  19. Metabolic Models, in Silico Trials, and Algorithms
    Ali Çınar, Ananda Basu, B. Wayne Bequette, Marc D. Breton, Bruce A. Buckingham, Eda Cengiz, Claudio Cobelli, Eyal Dassau, Francis J. Doyle, Chiara Fabris et al. · 2025 · Diabetes Technology & Therapeutics
  20. Model Predictive Control of Type 1 Diabetes added to Conventional Therapy
    Lalo Magni, Chiara Toffanin, Chiara Dalla Man, Boris P. Kovatchev, Claudio Cobelli, Giuseppe De Nicolao · 2011 · IFAC Proceedings Volumes
  21. Performance Effect of Adjusting Insulin Sensitivity for Model-Based Automated Insulin Delivery Systems
    Marcela Moscoso-Vásquez, Chiara Fabris, Marc D. Breton · 2023 · Journal of Diabetes Science and Technology
  22. Optimal model-based insulin dosing strategy with offline and online optimization
    Martin Dodek, Eva Miklovičová, Miroslav Halás · 2024 · Informatics in Medicine Unlocked
  23. Blood-glucose regulator design for diabetics based on LQIR-driven Sliding-Mode-Controller with self-adaptive reaching law
    Omer Saleem, Jamshed Iqbal · 2024 · PLoS ONE
  24. Theoretical Modeling of Oral Glucose Tolerance Tests Guides the Interpretation of the Impact of Perinatal Cadmium Exposure on the Offspring’s Glucose Homeostasis
    Alexandre Rocca, Éric Fanchon, Jean‐Marc Moulis · 2020 · Toxics
  25. Risk-Averse Food Recommendation Using Bayesian Feedforward Neural Networks for Patients with Type 1 Diabetes Doing Physical Activities
    Phuong Dinh Ngo, Miguel Tejedor, Maryam Tayefi, Taridzo Chomutare, Fred Godtliebsen · 2020 · Applied Sciences
  26. Brain Mass (Energy) Resistant to Hyperglycaemic Oversupply: A Systematic Review
    Marie Sprengell, Britta Kubera, Achim Peters · 2021 · Frontiers in Neuroscience
  27. A continuous glucose monitoring measurements forecasting approach via sporadic blood glucose monitoring
    Yuting Xing, Hangting Ye, Xiaoyu Zhang, Wei Cao, Shun Zheng, Jiang Bian, Yike Guo · 2022 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  28. Quantifying postprandial glucose responses using a hybrid modeling approach: Combining mechanistic and data-driven models in The Maastricht Study
    Balázs Erdõs, Bart van Sloun, Gijs H. Goossens, Shauna D. O’Donovan, Bastiaan E. de Galan, Marleen M. J. van Greevenbroek, Coen D.A. Stehouwer, Miranda T. Schram, Ellen E. Blaak, Michiel E. Adriaens et al. · 2023 · PLoS ONE
  29. Physiological model-based machine learning for classifying patients with binge-eating disorder (BED) from the Oral Glucose Tolerance Test (OGTT) curve
    Anna Procopio, Marianna Rania, Paolo Zaffino, Nicola Cortese, Federica Giofrè, Franco Arturi, Cristina Segura‐Garcìa, Carlo Cosentino · 2024 · Computer Methods and Programs in Biomedicine
  30. New Principles and Adequate Robust Control Methods for Artificial Pancreas
    Levente Kovács, Zoltán Benyó, Adalbert Kovács, Balázs István Benyó · 2010 · Studies in computational intelligence
  31. Adaptive control algorithm for a rapid and slow acting insulin therapy following run-to-run methodology
    F. Campos-Cornejo, Daniel Ulises Campos-Delgado, Eyal Dassau, Howard Zisser, Lois G. Jovanovic, Francis J. Doyle · 2010 · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
  32. Modified control algorithms for patients with type 1 diabetes mellitus undergoing exercise
    Shih-Wei Liu, Hsiao‐Ping Huang, Chia-Hung Lin, I‐Lung Chien · 2014 · Journal of the Taiwan Institute of Chemical Engineers
  33. Subcutaneous neural inverse optimal control for an Artificial Pancreas
    Blanca S. Leon, Alma Y. Alanís, Edgar Nelson Sanchez, Fernando Ornelas Tellez, Eduardo Ruiz-Velazquez · 2013 · International Joint Conference on Neural Networks (IJCNN)
  34. An iterative learning strategy for the auto-tuning of the feedforward and feedback controller in type-1 diabetes
    Mario Luca Fravolini, Pier Giorgio Fabietti · 2013 · Computer Methods in Biomechanics & Biomedical Engineering
  35. Creating a Bridge between Modelica and the Systems Biology Community
    Jan Brugård, Daniel Hedberg, Marta Cascante, Gunnar Cedersund, Àlex Gómez-Garrido, Dieter Maier, Elin Nyman, Vitaly A. Selivanov, Peter Strålfors · 2009 · Linköping electronic conference proceedings
  36. Data-Driven Models for eHealth Applications
    Krzysztof Brzostowski, Jarosław Drapała, Jerzy Świątek · 2013 · International Journal of Computer Science and Artificial Intelligence
  37. In Silico Examination of Initiation of Long-Acting Insulin Analogs Toujeo Compared to Lantus Under 3 Dosing Titration Rules in Virtual Type 2 Diabetes Subjects
    Jochen Sieber, Mark Weinheimer, Gail Kongable, Susan Riddle, Yung-Yeh Chang, Frank Flacke · 2019 · Journal of Diabetes Science and Technology
  38. Unannounced meal analysis of the ARG algorithm
    Emilia Fushimi, Patricio H. Colmegna, Hernán De Battista, Fabricio Garelli, Ricardo Sánchez‐Peña · 2019 · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
  39. Determination of physiological parameters for endogenous glucose production in individuals using diurnal data
    Mariël F. van Stee, Shaji Krishnan, Albert Kornelis Groen, Albert A. de Graaf · 2019 · BMC Biomedical Engineering
  40. Method to generate a large cohort in-silico for type 1 diabetes
    Onofre Orozco-López, Agustín Rodríguez-Herrero, Carlos Eduardo Castaneda, Gema García-Sáez, M. Elena Hernando · 2020 · Computer Methods and Programs in Biomedicine
  41. Gluclas: A software for computer-aided modulation of glucose infusion in glucose clamp experiments
    Jacopo Pavan, Chiara Dalla Man, David Herzig, Lia Bally, Simone Del Favero · 2022 · Computer Methods and Programs in Biomedicine
  42. Back-stepping sliding mode control Design for glucose regulation in type 1 diabetic patients
    S. Vakili, H. ToosianShandiz · 2019 · International journal of nonlinear analysis and applications
  43. Drug Pharmacokinetics After Alternative Routes of Administration
    Þorsteinn Loftsson · 2015 · Elsevier eBooks
  44. Electrical and Computer Technology for Effective Diabetes Management and Treatment
    W.A. Sandham, Eldon D. Lehmann, Martha L. Zequera, David James Hamilton, Patrizio Tatti, John S.A. Walsh · 2011 · Journal of Electrical and Computer Engineering
  45. Markov jump modelling and control of stress effects on the blood glucose regulation system
    Nasibeh Zohrabi, Hamidreza Momeni, Hasan Zakeri · 2012 · Iranian Conference on Electrical Engineering
  46. Hybrid control of type 1 diabetes bolus therapy
    Hannes Trogmann, Harald Kirchsteiger, Luigi del Re · 2010 · IEEE Conference on Decision and Control (CDC)
  47. In Silico Clinical Trials: A Possible Response to Complexity in Pharmacology
    Federico Boem, Ilaria Malagrinò, Marta Bertolaso · 2020 · Boston studies in the philosophy of science
  48. Enhancing Blood Glucose Prediction with Meal Absorption and Physical Exercise Information
    Chengyuan Liu, J. Vehí, N. Oliver, P. Georgiou, P. Herrero · 2018 · arXiv.org
  49. Association between continuous glucose monitoring-derived metrics and coronary plaque vulnerability: A retrospective exploratory analysis
    Hikaru Sugimoto, Ken‐ichi Hironaka, Tomoko Yamada, Natsu Otowa‐Suematsu, Yushi Hirota, Hiromasa Otake, Ken‐ichi Hirata, Kazuhiko Sakaguchi, Wataru Ogawa, Shinya Kuroda · 2025 · eLife
  50. Quantifying the effect of nutritional interventions on metabolic resilience using personalized computational models
    Shauna D. O’Donovan, Milena Rundle, Elizabeth Louise Thomas, Jimmy David Bell, Gary Steven Frost, Doris M. Jacobs, Anne J. Wanders, Ryan de Vries, Edwin C.M. Mariman, Marleen A. van Baak et al. · 2024 · iScience
  51. Explainable cluster-based learning for prediction of postprandial glycemic events and insulin dose optimization in type 1 diabetes
    Najib Ur Rehman, Iván Contreras, Aleix Beneyto, Josep Vehı́ · 2025 · PLOS Digital Health
  52. Predictive Control of Diabetic Glycemia
    Meike Stemmann · 2013 · Lund University Publications (Lund University)
  53. Meal estimation from Continuous Glucose Monitor data using Kalman filtering and hypothesis testing
    Odd Martin Staal, Steinar Salid, Anders Lyngvi Fougner, Øyvind Stavdahl · 2019 · IEEE Conference on Decision and Control (CDC)
  54. Insulin Signaling Pathway Model in Adipocyte Cells
    Reza Zarghami, Monir Sheibani, Farhang Jalali‐Farahani, Sima Sadrai · 2022 · Current Pharmaceutical Design
  55. Dynamics of a New Delayed Glucose–Insulin Model with Obesity
    Chunyan Gao, Fangqi Chen, Pei Yu · 2024 · International Journal of Bifurcation and Chaos
  56. Optimal Periodic Impulsive Strategies in Glycemic Control
    Alessandro Borri, Filippo Cacace, Andrea De Gaetano, Marcello Pompa, Simona Panunzi · 2024 · IEEE Transactions on Control Systems Technology
  57. Metabolic Models, in Silico Trials, and Algorithms
    Ali Çınar, Ananda Basu, B. Wayne Bequette, Marc D. Breton, Bruce A. Buckingham, Eda Cengiz, Claudio Cobelli, Eyal Dassau, Francis J. Doyle, Chiara Fabris et al. · 2025 · Journal of Diabetes Science and Technology
  58. Closed-loop control scheme for the Euglycemic Hyperinsulinemic Clamp: validation on virtual patients
    Pasquale J Palumbo, G. Pizzichelli, Pierdomenico Pepe, Simona Panunzi, Andrea De Gaetano · 2014 · IFAC Proceedings Volumes
  59. Regulation of the Human Plasma Glycemia by Means of Glucose Measurements and Subcutaneous Insulin Administration
    Pasquale J Palumbo, Pierdomenico Pepe, Jude Dzevela Kong, Sreedhar Saseendran Kumar, Simona Panunzi, Andrea De Gaetano · 2013 · IFAC Proceedings Volumes
  60. Mealtime correction insulin advisor for CGM-informed insulin pen therapy
    Paul Vereshchetin, Marc D. Breton, Stephen D. Patek · 2013 · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
  61. PID control of glucose concentration in subjects with type 1 diabetes based on a simplified model: An in silico trial
    Peng Li, Lei Yu, Liquan Guo, Jixiang Dong, Ji Hu, Qiang Fang · 2012 · World Congress on Intelligent Control and Automation
  62. An LMI-based controller for the glucose-insulin system
    Puya Latafat, Pasquale J Palumbo, Pierdomenico Pepe, Levente Kovac, Simona Panunzi, Andrea De Gaetano · 2015 · European Control Conference (ECC)
  63. In-Silico Trials for Glucose Control in Hospitalized Patients with Type 2 Diabetes
    Karam Choi, Tae Jung Oh, Jung Chan Lee, Myung-Joon Kim, Hee Chan Kim, Young Min Cho, Sungwan Kim · 2016 · Journal of Korean Medical Science
  64. Control of Blood Glucose
    Weijiu Liu · 2012 · Modeling, simulation & applications
  65. Identification of parameters of the glucose-insulin homeostasis under everyday live conditions
    Christian Tolks, Christoph Ament · 2017 · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...)
  66. From Personal Informatics to Personal Analytics: Investigating How Clinicians and Patients Reason About Personal Data Generated with Self-Monitoring in Diabetes
    Lena Mamykina, Matthew E. Levine, Patricia G. Davidson, Arlene Merne Smaldone, Noémie Elhadad, David J. Albers · 2017 · Health informatics
  67. An inverse feedback fuzzy state space modeling (FFSSM) for insulin-glucose regulatory system in humans
    Izaz Ullah Khan, Tahir Ahmad, Normah Maan · 2013 · Scientific Research and Essays
  68. Model Order Reduction of Glucose-Insulin Homeostasis Using Empirical Gramians and Balanced Truncation
    Christian Tolks, Christoph Ament · 2017 · IFAC-PapersOnLine
  69. Modeling and Control of the Glucose‐Insulin‐Glucagon System in Type I Diabetis Mellitus
    Subramaniam Sangeetha, Chandrasekar Sreepradha, Subramani Sobana, Panda Bidisha, Rames Chandra Panda · 2020 · ChemBioEng Reviews
  70. Towards Safe and Robust Closed-Loop Artificial Pancreas Using Adaptive Weighted PID Control Strategy
    Abdel-Latif Alshalalfah, Ghaith Bany Hamad, Otmane Aı̈t Mohamed · 2020 · IEEE International New Circuits and Systems Conference (NEWCAS)
  71. An Android Phone Based Artificial Pancreas System for Type- 1 Diabetic Patients
    Abishek Chandrasekhar, Divya Saini, Radhakant Padhi · 2021 · IEEE Region Humanitarian Technology Conference
  72. Realistic simulation of time-course measurements in systems biology
    Janine Egert, Clemens Kreutz · 2023 · Mathematical Biosciences & Engineering
  73. Estimation of glucose rate of appearance in portal vein circulation using a phenomenological-based model
    Laura Lema-Pérez, Alejandro Herrón-Bedoya, Valentina Paredes-Ángel, Andrea Hernández-Arango, Carlos Esteban Builes-Montaño, Hernán Álvarez · 2023 · PLoS ONE
  74. Analysis of Methods for Calculating Optimal Parameters for Insulin Boluses in Automated Insulin Therapy Systems with Control Based on Predictive Models
    D. A. Chuprakov, Пожар Кирилл Витольдович · 2023 · Biomedical Engineering
  75. In Silico Investigation of the Clinical Translatability of Competitive Clearance Glucose-Responsive Insulins
    Jing Fan Yang, Sungyun Yang, Xun Gong, Naveed A. Bakh, Ge Zhang, Allison B. Wang, Alan D. Cherrington, Michael Aaron Weiss, Michael S. Strano · 2023 · ACS Pharmacology & Translational Science
  76. Adaptive Algorithms for Personalized Diabetes Treatment
    Elena Daskalaki, Peter Diem, Stavroula Georgia Mougiakakou · 2014 · Lecture notes in bioengineering
  77. Computational Model for Studying the Analogies Between Endocrine Systems of Humans and Rats with Diabetes Mellitus. Experimental and Simulated Results.
    Germán Campetelli, Maela Lupo, Brenda L. Fina, David Zumoffen, MARTA S. BASUALDO, Alfredo Rigalli · 2010 · IFAC Proceedings Volumes
  78. Adjustment of basal insulin infusion rate in T1DM by hybrid PSO
    Zhijiang Lou, Bo Liu, Hongzhi Xie, Youqing Wang · 2014 · Soft Computing
  79. Systems Pharmacology Modeling in Type 2 Diabetes Mellitus
    Jim Bosley, Tristan S. Maurer, Cynthia J. Musante · 2016 · AAPS advances in the pharmaceutical sciences series
  80. Background and Preview
    Eleni I. Georga, Dimitrios I. Fotiadis, Stelios K. Tigas · 2017 · Elsevier eBooks
  81. Chattering ‐ free hybrid adaptive neuro‐fuzzy inference system‐particle swarm optimisation data fusion‐based BG‐level control
    Ali Karsaz · 2019 · IET Systems Biology
  82. Neuro-fuzzy inverse optimal control incorporating a multistep predictor as applied to T1DM patients
    Alma Y. Alanís, Y. Yuliana Ríos, Julio Alberto García-Rodríguez, Edgar Nelson Sanchez, Eduardo Ruiz-Velazquez, Aldo Pardo García · 2020 · Elsevier eBooks
  83. Glycemic Control for Critically Ill Patients Using Zone Model Predictive Control
    Sha Wu, Eiko Furutani, Tomonori Sugawara, Takehiko Asaga, Gotaro Shirakami · 2020 · IEEJ Transactions on Electrical and Electronic Engineering
  84. Towards Insulin Monitoring: Infrequent Kalman Filter Estimates for Diabetes Management
    Kelilah L. Wolkowicz, Sunil Deshpande, Francis J. Doyle, Eyal Dassau · 2020 · IFAC-PapersOnLine
  85. On the Implementation of Fixed Point Iteration-based Adaptive Receding Horizon Control for Multiple Degree of Freedom, Higher Order Dynamical Systems
    Hamza Khan, József K. Tar · 2019 · Acta Polytechnica Hungarica
  86. Online Glucose Prediction in Type-1 Diabetes by Neural Network Models
    Chiara Zecchin · 2014 · Padua@research (University of Padova)
  87. A new model for closed-loop control in type 1 diabetes
    Ilham Ben Abbes, Marie-Anne Lefebvre, Hervé Cormerais, Pierre-Yves Richard · 2011 · IFAC Proceedings Volumes
  88. Distributed aspects of the artificial pancreas
    Stephen D. Patek, Sanjian Chen, Patrick Keith-Hynes, Insup Lee · 2013 · Allerton Conference on Communication, Control, and Computing
  89. Multilevel Model of Type 1 Diabetes Mellitus Patients for Model-Based Glucose Controllers
    Winston García-Gabín, Elling W. Jacobsen · 2013 · Journal of Diabetes Science and Technology
  90. Nonlinear model predictive glycemic control of critically ill patients using online identification of insulin sensitivity
    Sha Wu, Eiko Furutani · 2016 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  91. Design of Bi-hormonal artificial pancreas system using switching economic model predictive control
    Fengna Tang, Youqing Wang · 2017 · Chinese Control Conference (CCC)
  92. Effective Control of Glycemia using a Simple Discrete-delay Model
    Claudio Gaz, Andrea De Gaetano, Costanzo Manes, Pasquale J Palumbo, Alessandro Borri, Simona Panunzi · 2017 · IFAC-PapersOnLine
  93. Sensitivity Analysis of the Insulin-Glucose Mathematical Model
    Dariusz S. Radomski, Joanna Głowacka · 2018 · Advances in intelligent systems and computing
  94. Optimization Techniques for Online MPC in Android Smartphones for Artificial Pancreas: A Comparison Study
    Abishek Chandrasekhar, Radhakant Padhi · 2022 · IFAC-PapersOnLine
  95. Glucose-Insulin Dynamical Model for Type 2 Diabetic Patients.
    Mohamad Al Ahdab, John Leth, Torben Knudsen, Henrik Glavind Clausen · 2020 · arXiv (Cornell University)
  96. A Deep Deterministic Policy Gradient control algorithm for Automatic Insulin Delivery
    Giada Lops, Vito Andrea Racanelli, Gioacchino Manfredi, Luca De Cicco, Saverio Mascolo · 2025 · IFAC-PapersOnLine
  97. Hybrid In Silico Evaluation Approach for Assessing Insulin Dosing Strategies
    Florian Reiterer, Matthias Reiter, Luigi del Re · 2017 · IFAC-PapersOnLine
  98. Hybrid in silico evaluation of insulin dosing algorithms in diabetes
    Florian Reiterer, Dominik Schauer, Matthias Reiter, Luigi del Re · 2019 · IFAC Journal of Systems and Control
  99. Simulation model of a patient with type 1 diabetes using fuzzification
    Tomasz Zientarski, Marek Miłosz, T Nowicki, Adam Kiersztyn, P Wójcicki, Dariusz Gutek · 2023 · Journal of Physics Conference Series
  100. Learning control-ready forecasters for Blood Glucose Management
    Harry Rubin‐Falcone, Joyce M. Lee, Jenna Wiens · 2024 · Computers in Biology and Medicine