AIMC Topic: Blood Glucose
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Sparse group LASSO and nonlinear machine learning for frequency-feature optimization in noninvasive blood glucose monitoring via bioimpedance spectroscopy.
The Review of scientific instruments
Jul 1, 2025
Diabetic patients need to test their blood glucose levels (BGL) frequently; however, traditional methods of blood collection and testing cause great pain to patients. In order to improve the quality of life of patients, this paper develops a noninvas...
The Use of Continuous Glucose Monitoring to Diagnose Stage 2 Type 1 Diabetes.
Journal of diabetes science and technology
Jul 1, 2025
This consensus report evaluates the potential role of continuous glucose monitoring (CGM) in screening for stage 2 type 1 diabetes (T1D). CGM offers a minimally invasive alternative to venous blood testing for detecting dysglycemia, facilitating earl...
Prediction of Insulin Resistance in Nondiabetic Population Using LightGBM and Cohort Validation of Its Clinical Value: Cross-Sectional and Retrospective Cohort Study.
JMIR medical informatics
Jun 13, 2025
BACKGROUND: Insulin resistance (IR), a precursor to type 2 diabetes and a major risk factor for various chronic diseases, is becoming increasingly prevalent in China due to population aging and unhealthy lifestyles. Current methods like the gold-stan...
Prognostic value of the Glucose-to-Albumin ratio in sepsis-related mortality: A retrospective ICU study.
Diabetes research and clinical practice
Jun 1, 2025
AIMS: To investigate the prognostic value of the glucose-to-albumin ratio (GAR) in predicting 30-day and 90-day mortality in septic ICU patients.
Deep reinforcement learning for Type 1 Diabetes: Dual PPO controller for personalized insulin management.
Computers in biology and medicine
Jun 1, 2025
BACKGROUND: Managing blood glucose levels in Type 1 Diabetes Mellitus (T1DM) is essential to prevent complications. Traditional insulin delivery methods often require significant patient involvement, limiting automation. Reinforcement Learning (RL)-b...
Predictive factors of hypoglycemia in type 2 diabetes: a prospective study using machine learning.
Scientific reports
May 25, 2025
Hypoglycemia is a serious complication in individuals with type 2 diabetes mellitus. Identifying who is most at risk remains challenging due to the non-linear relationships between hypoglycemia and its associated risk factors. The objective of this s...
A deep learning framework for virtual continuous glucose monitoring and glucose prediction based on life-log data.
Scientific reports
May 10, 2025
While continuous glucose monitoring (CGM) has revolutionized metabolic health management, widespread adoption remains limited by cost constraints and usage burden, often resulting in interrupted monitoring periods. We propose a deep learning framewor...
Combined assessment of stress hyperglycemia ratio and glycemic variability to predict all-cause mortality in critically ill patients with atherosclerotic cardiovascular diseases across different glucose metabolic states: an observational cohort study with machine learning.
Cardiovascular diabetology
May 9, 2025
BACKGROUND: Stress hyperglycemia ratio (SHR) and glycemic variability (GV) reflect acute glucose elevation and fluctuations, which correlate with adverse outcomes in patients with atherosclerotic cardiovascular disease (ASCVD). However, the prognosti...
Cause of Death
Atherosclerosis
Biomarkers
Stress, Physiological
Prognosis
Prediabetic State
Retrospective Studies
Middle Aged
Humans
Hyperglycemia
Critical Illness
Female
Risk Assessment
Machine Learning
Diabetes Mellitus
Blood Glucose
Databases, Factual
Predictive Value of Tests
Risk Factors
Time Factors
Aged
Male
Noninvasive blood glucose monitoring using a dual band microwave sensor with machine learning.
Scientific reports
May 9, 2025
The potential for continuous non-invasive blood glucose monitoring has attracted a lot of interest in the field of medical diagnostics. This paper provides a new shape of a dual-band bandpass filter (DBBPF) acting as a microwave transmission line sen...
Real-Time AI-Assisted Insulin Titration System for Glucose Control in Patients With Type 2 Diabetes: A Randomized Clinical Trial.
JAMA network open
May 1, 2025
IMPORTANCE: Type 2 diabetes (T2D) is one of the most prevalent chronic diseases in the world. Insulin titration for glycemic control in T2D is crucial but limited by the lack of personalized and real-time tools.
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