Latest AI and machine learning research in diabetes for healthcare professionals.
Chronic kidney disease (CKD) is a public health priority worldwide; however, its prevalence and inci...
Testing for proteinuria is used to screen for diabetic nephropathy. However, significant proportion ...
Patients with end-stage renal disease (ESRD) continue to increase in number worldwide, especially in...
Metformin as an oral antidiabetic drug (OAD) is not recommended in renal failure due to the presumed...
CONTEXT AND OBJECTIVE:: Type 2 diabetes is a chronic disease associated with a wide range of serious...
BACKGROUND: Alzheimer's disease (AD) is one of the most common lethal neurodegenerative disorders ha...
IMPORTANCE: Deep learning is a family of computational methods that allow an algorithm to program it...
BACKGROUND: Metabolic surgery for obese patients with type 2 diabetes (T2D) yields short- and long-t...
BACKGROUND: Arterial stiffness is associated with increased risk for cardiovascular disease. The pur...
AIM: The aim was to examine risk factors for hearing impairment among Hispanic/Latino adults with di...
AIM: The aim of this study is to survey the effect of Helicobacter Pylori on metabolic syndrome para...
Signaling AMP-activated protein kinase (AMPK), an energy sensing enzyme, has been implicated in cont...
BACKGROUND: Adiponectin is an important adipocyte-related protein that has been postulated to partic...
Extensive studies have been performed on acute mountain sickness (AMS), but biomarkers predicting AM...
This paper describes the design and characterization of a reconfigurable, multi-technique electroche...
BACKGROUND: Considerable evidence suggests that oxidative stress affects diabetes mellitus (DM) and ...
PURPOSE: To compare performance of a deep-learning enhanced algorithm for automated detection of dia...
A survey from the University of Liverpool concludes that young patients are receptive to the use of ...
OBJECTIVES: To investigate the protective effect of Tanshinone IIA (TSA) on oxygen-glucose deprivati...
Large medical image data sets with high dimensionality require substantial amount of computation tim...