Artificial intelligence and diabetes technology: a review
Artificial intelligence (AI) is widely discussed in the popular literature and is portrayed as
impacting many aspects of human life, both in and out of the workplace. The potential for …
impacting many aspects of human life, both in and out of the workplace. The potential for …
Blood Glucose Prediction from Nutrition Analytics in Type 1 Diabetes: A Review
Introduction: Type 1 Diabetes (T1D) affects over 9 million worldwide and necessitates
meticulous self-management for blood glucose (BG) control. Utilizing BG prediction …
meticulous self-management for blood glucose (BG) control. Utilizing BG prediction …
Mealtime prediction using wearable insulin pump data to support diabetes management
Many patients with diabetes struggle with post-meal high blood glucose due to missed or
untimely meal-related insulin doses. To address this challenge, our research aims to:(1) …
untimely meal-related insulin doses. To address this challenge, our research aims to:(1) …
[HTML][HTML] A simulator with realistic and challenging scenarios for virtual T1D patients undergoing CSII and MDI therapy
In silico simulations have become essential for the development of diabetes treatments.
However, currently available simulators are not challenging enough and often suffer from …
However, currently available simulators are not challenging enough and often suffer from …
A variable ranking method for machine learning models with correlated features: In-silico validation and application for diabetes prediction
M Vettoretti, B Di Camillo - Applied Sciences, 2021 - mdpi.com
Featured Application The methodology proposed in this paper allows to perform robust
variable ranking in statistical learning or machine learning models with highly correlated …
variable ranking in statistical learning or machine learning models with highly correlated …
[HTML][HTML] Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for in-silico clinical trials: More realistic scenarios obtained using a …
Background and objective In type 1 diabetes (T1D) research, in-silico clinical trials (ISCTs)
notably facilitate the design/testing of new therapies. Published simulation tools embed …
notably facilitate the design/testing of new therapies. Published simulation tools embed …
[HTML][HTML] In silico validation of a customizable fully-autonomous artificial pancreas with coordinated insulin, glucagon and rescue carbohydrates
R Sanz, I Sala-Mira, C Furió-Novejarque… - Biocybernetics and …, 2024 - Elsevier
Artificial pancreas systems should be designed considering different patient profiles, which
is challenging from a control theory perspective. In this paper, a flexible-hybrid dual …
is challenging from a control theory perspective. In this paper, a flexible-hybrid dual …
[HTML][HTML] Risk of hypoglycemia in type 1 diabetes management: An in-silico sensitivity analysis to assess and rank the quantitative impact of different behavioral factors
Abstract Background and Objective: In type 1 diabetes (T1D), a quantitative evaluation of the
impact on hypoglycemia of suboptimal therapeutic decision (eg incorrect estimation of the …
impact on hypoglycemia of suboptimal therapeutic decision (eg incorrect estimation of the …