Latest AI and machine learning research in diabetes for healthcare professionals.
We analyzed the factors associated with dementia in the elderly attended at a memory outpatient clin...
Extracellular matrix (ECM) proteins have been shown to play important roles regulating multiple biol...
This paper describes the fabrication of and data collection from two microfluidic devices: a microfl...
MOTIVATION: The carotid intima-media thickness (cIMT) is an important biomarker for cardiovascular d...
Biometric measurements captured from medical devices, such as blood pressure gauges, glucose monitor...
A requirement of realism-based ontology design is that classes denote exclusively entities that exis...
Healthcare quality research is a fundamental task that involves assessing treatment patterns and mea...
De-identification of clinical notes is a special case of named entity recognition. Supervised machin...
BACKGROUND: Inherited nephrogenic diabetes insipidus (NDI) is a rare disorder characterized by impai...
OBJECTIVE: To evaluate the impact of intravitreal (IV) and intraperitoneal (IP) astaxanthin (AST) in...
Diabetes mellitus is a group of metabolic diseases in which blood sugar levels are too high. About 8...
BACKGROUND: Left ventricular (LV) diastolic dysfunction commonly is observed in individuals with typ...
The objective of the current study was to explore the role of ABCB1 and CYP3A5 genetic polymorphisms...
Over 26 million people worldwide suffer from heart failure annually. When the cause of heart failure...
Medication selection for Type 2 Diabetes (T2D) is a challenging medical decision-making problem invo...
Development of truly useful wearable physiologic monitoring devices for use in diabetes management i...
PURPOSE: Use adjudication to quantify errors in diabetic retinopathy (DR) grading based on individua...
OBJECTIVES: To identify the most important demographic risk factors for a diagnosis of type 2 diabet...
BACKGROUND: M-type phospholipase A2 receptor (APLA2R) is considered the major antigen involved in th...
PURPOSE: To assess the performance of a deep learning algorithm for detecting referable glaucomatous...
Preclinical studies of vascular retinal diseases rely on the assessment of developmental dystrophies...