Recent advances in the precision control strategy of artificial pancreas

W Ming, X Guo, G Zhang, Y Liu, Y Wang… - Medical & Biological …, 2024 - Springer
The scientific diagnosis and treatment of patients with diabetes require frequent blood
glucose testing and insulin delivery to normoglycemia. Therefore, an artificial pancreas with …

Data-enabled learning and control algorithms for intelligent glucose management: The state of the art

D Cai, W Wu, M Cescon, W Liu, L Ji, D Shi - Annual Reviews in Control, 2023 - Elsevier
External insulin administration is an effective way for patients with diabetes mellitus to
regulate their blood glucose. Multiple daily injections (MDIs), sensor-augmented pump …

[HTML][HTML] Artificial intelligence algorithms for treatment of diabetes

MM Rashid, MR Askari, C Chen, Y Liang, K Shu… - Algorithms, 2022 - mdpi.com
Artificial intelligence (AI) algorithms can provide actionable insights for clinical decision-
making and managing chronic diseases. The treatment and management of complex …

[HTML][HTML] Predicting glucose level with an adapted branch predictor

T Koutny, M Mayo - Computers in Biology and Medicine, 2022 - Elsevier
Background and objective Diabetes mellitus manifests as prolonged elevated blood glucose
levels resulting from impaired insulin production. Such high glucose levels over a long …

Adaptive personalized prior-knowledge-informed model predictive control for type 1 diabetes

X Sun, M Rashid, MR Askari, A Cinar - Control engineering practice, 2023 - Elsevier
This work considers the problem of adaptive prior-informed model predictive control (MPC)
formulations that explicitly incorporate prior knowledge in the model development and is …

Learning difference equations with structured grammatical evolution for postprandial glycaemia prediction

D Parra, D Joedicke, JM Velasco… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
People with diabetes must carefully monitor their blood glucose levels, especially after
eating. Blood glucose management requires a proper combination of food intake and insulin …

Neural component analysis for key performance indicator monitoring

Z Li, Y Wang, W Hou, S Lu, Y Xue, S Deprizon - ACS omega, 2022 - ACS Publications
The partial least squares (PLS) algorithm is a commonly used key performance indicator
(KPI)-related performance monitoring method. To address nonlinear features in the process …

Kernel-regularized latent-variable regression models for dynamic processes

X Sun, A Cinar, X Yu, M Rashid… - Industrial & Engineering …, 2022 - ACS Publications
Establishing relations between variables and real-time prediction of quality variables or
other key indicators are critical for dynamic processes including industrial and biological …

Improving blood glucose prediction for people with T1DM during physical activity using machine learning on participant collected data

D Oh - 2024 - munin.uit.no
For people with Type 1 Diabetes Mellitus (T1DM), engaging in physical activities (PA)
presents unique challenges. The aim of this thesis was to improve the prediction of blood …

A practical approach based on learning-based model predictive control with minimal prior knowledge of patients for artificial pancreas

MH Lim, S Kim - Computer Methods and Programs in Biomedicine, 2023 - Elsevier
Background and objectives Complete identification of the glucose dynamics for a patient
generally requires prior clinical procedures and several measurements for the patient …