Objective Diabetes mellitus is a global epidemic disease. Long-time exposure of patients to
hyperglycemia can lead to various type of chronic tissue damage. Early diagnosis of and …

Abstract Aims/Hypothesis The study aimed to assess the usefulness of capillaroscopy and
photoplethysmography in the search for early vascular anomalies in children with type 1 …

Abstract Background and Objective Deep learning models (DLMs) have been successfully
applied in biomedicine primarily using supervised learning with large, annotated databases …

Photopletysmography (PPG) is a non-invasive and well known technology that enables the
recording of the digital volume pulse (DVP). Although PPG is largely employed in research …

Artificial intelligence (AI)‐driven analysis of comprehensive clinical parameters is bringing
about a significant transformation in traditional routine clinical laboratory testing. This …

Photoplethysmography (PPG) is a non-invasive and cost-efficient optical technique used to
assess blood volume variations in the microcirculation. PPG technology is widely used in a …

Diabetes is a prevalent chronic condition that compromises the health of millions of people
worldwide. Minimally invasive methods are needed to prevent and control diabetes but most …

The present research addresses a new kind of H-shaped optical fiber sensor based on the
surface plasmon resonance (SPR) phenomenon for sensing blood glucose levels in diabetic …

Introduction The application of machine learning (ML) is increasingly growing in biomedical
sciences. This study aimed to evaluate factors associated with type 2 diabetes mellitus …

Retinopathy is one of the most common micro vascular impairments in diabetic subjects.
Elevated blood glucose leads to capillary occlusion, provoking the uncontrolled increase in …