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We develop a new model of insulin-glucose dynamics for forecasting blood glucose in type 1 diabetics. We augment an existing biomedical model by introducing time-varying dynamics driven by a machine learning sequence model. Our model…

Machine Learning · Statistics 2020-08-10 Andrew C. Miller , Nicholas J. Foti , Emily Fox

AI procedures joined with wearable gadgets can convey exact transient blood glucose level forecast models. Also, such models can learn customized glucose-insulin elements dependent on the sensor information gathered by observing a few parts…

Machine Learning · Computer Science 2021-01-22 Ignacio Rodriguez

Describing dynamic medical systems using machine learning is a challenging topic with a wide range of applications. In this work, the possibility of modeling the blood glucose level of diabetic patients purely on the basis of measured data…

Machine Learning · Computer Science 2023-03-10 David Jödicke , Daniel Parra , Gabriel Kronberger , Stephan Winkler

Objective: The design of an Artificial Pancreas (AP) to regulate blood glucose levels requires reliable control methods. Model Predictive Control has emerged as a promising approach for glycemia control. However, model--based control…

Optimization and Control · Mathematics 2022-02-02 Claudia Lopez-Zazueta , Øyvind Stavdahl , Anders Lyngvi Fougner

The mathematical modelling of biological systems has historically followed one of two approaches: comprehensive and minimal. In comprehensive models, the involved biological pathways are modelled independently, then brought together as an…

Dynamical Systems · Mathematics 2021-11-16 Eric Ng , Jaycee Morgan Kaufman , Lennaert van Veen , Yan Fossat

Precise and timely forecasting of blood glucose levels is essential for effective diabetes management. While extensive research has been conducted on Type 1 diabetes mellitus, Type 2 diabetes mellitus (T2DM) presents unique challenges due…

Computational Engineering, Finance, and Science · Computer Science 2024-09-12 Yuyang Sun , Panagiotis Kosmas

Due to the sensitive nature of diabetes-related data, preventing them from being shared between studies, progress in the field of glucose prediction is hard to assess. To address this issue, we present GLYFE (GLYcemia Forecasting…

Signal Processing · Electrical Eng. & Systems 2020-06-30 Maxime De Bois , Mehdi Ammi , Mounîm A. El Yacoubi

The goal of this paper is to propose a new mathematical model for the combined effect of different treatments and lifestyles on the glucose-insulin dynamics of Type 2 diabetes (T2D) patients. The model gives the possibility to take into…

Systems and Control · Electrical Eng. & Systems 2023-01-11 Mohamad Al Ahdab , John Leth , Torben Knudsen , Peter Vestergaard , Henrik Clausen

Progress in the biomedical field through the use of deep learning is hindered by the lack of interpretability of the models. In this paper, we study the RETAIN architecture for the forecasting of future glucose values for diabetic people.…

Machine Learning · Computer Science 2020-09-11 Maxime De Bois , Mounîm A. El Yacoubi , Mehdi Ammi

Type 1 Diabetes is a chronic autoimmune condition in which the immune system attacks and destroys insulin-producing beta cells in the pancreas, resulting in little to no insulin production. Insulin helps glucose in your blood enter your…

Quantitative Methods · Quantitative Biology 2025-02-04 Soon Jynn Chu , Nalaka Amarasiri , Sandesh Giri , Priyata Kafle

Patients with Type I Diabetes (T1D) must take insulin injections to prevent the serious long term effects of hyperglycemia - high blood glucose (BG). Patients must also be careful not to inject too much insulin because this could induce…

Machine Learning · Computer Science 2019-04-01 Neil C. Borle , Edmond A. Ryan , Russell Greiner

Here, we develop a mathematical model for glucose-insulin regulatory system. The model includes a new parameter which is the amount of ingested glucose. Ingested glucose is an external glucose source coming from digested food. We assume…

Tissues and Organs · Quantitative Biology 2020-03-06 Sourav Chowdhury , Sourabh Kumar Manna , Suparna Roychowdhury , Indranath Chaudhuri

In this work we develop an ordinary differential equations (ODE) model of physiological regulation of glycemia in type 1 diabetes mellitus (T1DM) patients in response to meals and intravenous insulin infusion. Unlike for the majority of…

Diabetes Mellitus is a metabolic disorder which may result in severe and potentially fatal complications if not well-treated and monitored. In this study, a quantitative analysis of the data collected using CGM (Continuous Glucose…

Quantitative Methods · Quantitative Biology 2023-08-15 Giulia Elena Aliffi , Giovanni Nastasi , Vittorio Romano , Dario Pitocco , Alessandro Rizzi , Elvin J. Moore , Andrea De Gaetano

In this paper, models of the blood glucose (BG) dynamics in people with Type 1 diabetes (T1D) in response to moderate intensity aerobic activity are derived from physiology-based first principles and system identification experiments. We…

Systems and Control · Electrical Eng. & Systems 2023-07-18 Mehrad Jaloli , Marzia Cescon

The human insulin-glucose metabolism is a time-varying process, which is partly caused by the changing insulin sensitivity of the body. This insulin sensitivity follows a circadian rhythm and its effects should be anticipated by any…

Systems and Control · Electrical Eng. & Systems 2021-01-29 Lukas Ortmann , Dawei Shi , Eyal Dassau , Francis J. Doyle , Berno J. E. Misgeld , Steffen Leonhardt

Diabetes mellitus is a global health crisis characterized by poor blood sugar regulation, impacting millions of people worldwide and leading to severe complications and mortality. Although Type 1 Diabetes Mellitus (T1DM) has a lower number…

Other Quantitative Biology · Quantitative Biology 2025-04-14 Rinrada Jadsadaphongphaibool , Dadi Bi , Christian D. Lorenz , Yansha Deng , Robert Schober

Effective management of Type 1 Diabetes requires continuous glucose monitoring and precise insulin adjustments to prevent hyperglycemia and hypoglycemia. With the growing adoption of wearable glucose monitors and mobile health applications,…

Machine Learning · Computer Science 2026-01-22 Giorgia Rigamonti , Mirko Paolo Barbato , Davide Marelli , Paolo Napoletano

The insulin sensitivity (IS) of the human body changes with a circadian rhythm. This adds to the time-varying feature of the glucose metabolism process and places challenges on the blood glucose (BG) control of patients with Type 1 Diabetes…

Systems and Control · Computer Science 2021-01-29 Lukas Ortmann , Dawei Shi , Eyal Dassau , Francis J. Doyle , Steffen Leonhardt , Berno J. E. Misgeld

Diabetes mellitus is a disease that affects to hundreds of millions of people worldwide. Maintaining a good control of the disease is critical to avoid severe long-term complications. In recent years, several artificial pancreas systems…

Neural and Evolutionary Computing · Computer Science 2023-05-09 J. Ignacio Hidalgo , J. Manuel Colmenar , José L. Risco-Martín , Alfredo Cuesta-Infante , Esther Maqueda , Marta Botella , José Antonio Rubio
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