Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to …

JG Chase, JC Preiser, JL Dickson, A Pironet… - Biomedical engineering …, 2018 - Springer
Critical care, like many healthcare areas, is under a dual assault from significantly
increasing demographic and economic pressures. Intensive care unit (ICU) patients are …

Glycemic control in the intensive care unit: a control systems perspective

JG Chase, B Benyo, T Desaive - Annual Reviews in Control, 2019 - Elsevier
Computers and automation have revolutionised quality and productivity in many industries,
but not in medicine. Healthcare costs are thus growing beyond the ability of society to pay for …

Thompson sampling efficiently learns to control diffusion processes

MK Shirani Faradonbeh… - Advances in …, 2022 - proceedings.neurips.cc
Diffusion processes that evolve according to linear stochastic differential equations are an
important family of continuous-time dynamic decision-making models. Optimal policies are …

Continuous glucose monitoring to measure metabolic impact and recovery in sub-elite endurance athletes

DG Kulawiec, T Zhou, JL Knopp, JG Chase - Biomedical Signal Processing …, 2021 - Elsevier
Background and motivation Athletes experience substantial physiological impacts after
exhaustive events, including post-exercise hyperglycemia. Objective measurement of …

[HTML][HTML] Model-based subcutaneous insulin for glycemic control of pre-term infants in the neonatal intensive care unit

T Zhou, M Boettger, JL Knopp, M Lange, A Heep… - Computers in Biology …, 2023 - Elsevier
Hyperglycaemia is a common problem in neonatal intensive care units (NICUs). Achieving
good control can result in better outcomes for patients. However, good control is difficult …

Continuous glucose monitoring measures can be used for glycemic control in the ICU: an in-silico study

T Zhou, JL Dickson, GM Shaw… - Journal of Diabetes …, 2018 - journals.sagepub.com
Background: Continuous glucose monitoring (CGM) technology has become more prevalent
in the intensive care unit (ICU), offering potential benefits of increased safety and reduced …

Representation learning for fine-grained change detection

NO Mahony, S Campbell, L Krpalkova, A Carvalho… - Sensors, 2021 - mdpi.com
Fine-grained change detection in sensor data is very challenging for artificial intelligence
though it is critically important in practice. It is the process of identifying differences in the …

The state of variability: A vision for descriptors of glycaemia

T Zhou, JL Knopp, JG Chase - Annual Reviews in Control, 2019 - Elsevier
Glycaemic control (GC) in the intensive care unit is contentious. Hyperglycaemia,
hypoglycaemia, and glycaemic variability are all associated with increased morbidity and …

Observer‐based controller design for blood glucose regulation for type 1 diabetic patients with disturbance estimation: A backstepping approach

M Homayounzade - Asian Journal of Control, 2024 - Wiley Online Library
In this paper, an observer‐based nonlinear controller is proposed to regulate blood glucose
concentration (BGC) in type 1 diabetes mellitus (T1DM). The considered virtual patient …

Comparison of Bayesian Networks, G-estimation and linear models to estimate causal treatment effects in aggregated N-of-1 trials with carry-over effects

T Gärtner, J Schneider, B Arnrich… - BMC Medical Research …, 2023 - Springer
Background The aggregation of a series of N-of-1 trials presents an innovative and efficient
study design, as an alternative to traditional randomized clinical trials. Challenges for the …