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It is of great clinical significance to investigate noninvasive glucose detection. As one of the most potential methods, the noninvasive glucose detection based on near-infrared has become a hot research area recently. In this paper the principles and research methods of noninvasive glucose detection based on near-infrared spectrum are introduced. With the comparison between the research status at home and abroad in recent years, we summarize and discuss crucial issues in near-infrared noninvasive glucose detection, such as the selection of measurement method, selection of measurement position and choice of wavelength, and, furthermore, setting up models.
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Eur J Heart Fail
September 2025
Cardiovascular Division, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Aims: The estimated glucose disposal rate (eGDR) is a simple, non-invasive measure of insulin resistance. In this exploratory analysis of FINEARTS-HF, we evaluated whether lower eGDR, reflecting greater insulin resistance, is associated with adverse outcomes in heart failure (HF).
Methods And Results: The eGDR was calculated at baseline using waist circumference, glycated haemoglobin, and hypertension status.
J Clin Ultrasound
September 2025
Hebei General Hospital, Shijiazhuang, China.
Background: Acute ischemic stroke (AIS) is characterized by high incidence, sudden onset, and often poor prognosis. Carotid atherosclerosis plays a crucial role in its pathogenesis, and ultrasound imaging offers a non-invasive method for evaluating carotid plaque characteristics. This study aimed to develop and validate a prediction model for AIS risk based on a novel ultrasound-based carotid plaque scoring system combined with clinical risk factors.
View Article and Find Full Text PDFDiabetes Res Clin Pract
September 2025
Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, Canakkale Onsekiz Mart University, Canakkale, Turkey.
Aims: The mixed-meal tolerance test (MMTT), though considered the gold standard for evaluating residual beta-cell function in type 1 diabetes mellitus (T1D), is impractical for routine use. We aimed to develop and validate a machine learning (ML) model to predict MMTT-stimulated C-peptide categories using routine clinical data.
Methods: Data from 319 individuals in the T1D Exchange Registry with complete MMTT and clinical information were analyzed.
Nucl Med Biol
September 2025
Department of Nuclear Medicine, Hannover Medical School, Germany. Electronic address:
Purpose: The liver-brain axis regulates metabolic homeostasis, with glucose metabolism playing a key role. Liver dysfunction, such as fibrosis, may impact brain metabolism and consequently, brain function. Positron emission tomography (PET) imaging provides a non-invasive approach to study glucose metabolism in both organs.
View Article and Find Full Text PDFJ Biomed Phys Eng
August 2025
Department of Medical Physics and Engineering, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Background: Diabetes is a global concern, with an estimated 2 million individuals expected to be affected by the condition by 2024. Non-invasive glucose monitoring devices can greatly enhance patient care and management.
Objective: This study aimed to develop an instrument capable of non-invasively measuring blood glucose levels using an infrared transmitter and receiver, with data processing performed by a dedicated processor.