Experimental animal models for diabetes and its related complications—a review

CPD Kottaisamy, DS Raj, V Prasanth Kumar… - Laboratory animal …, 2021 - Springer
Diabetes mellitus, a very common and multifaceted metabolic disorder is considered as one
of the fastest growing public health problems in the world. It is characterized by …

Diagnostic biosensors in medicine–a review

SK Metkar, K Girigoswami - Biocatalysis and agricultural biotechnology, 2019 - Elsevier
Biosensors consist of a biocatalyst that can detect a biological element and a transducer
which can convert the combination event of the biocatalyst and the biological element into a …

Anxiety and depression in patients with end-stage renal disease: impact and management challenges–a narrative review

ZS Goh, K Griva - … journal of nephrology and renovascular disease, 2018 - Taylor & Francis
Psychiatric disorders commonly co-exist with the diagnosis of chronic kidney disease (CKD).
Research on depression and CKD has increased to a great extent. Multiple studies have …

Incidence and prevalence rates of diabetes mellitus in Saudi Arabia: An overview

A Alotaibi, L Perry, L Gholizadeh… - Journal of epidemiology …, 2017 - Springer
Objective This study aimed to report on the trends in incidence and prevalence rates of
diabetes mellitus in Saudi Arabia over the last 25 years (1990–2015). Design A descriptive …

[HTML][HTML] Diabetic neuropathy

EL Feldman, BC Callaghan, R Pop-Busui… - Nature reviews Disease …, 2019 - nature.com
The global epidemic of prediabetes and diabetes has led to a corresponding epidemic of
complications of these disorders. The most prevalent complication is neuropathy, of which …

Automatic detection of diabetic eye disease through deep learning using fundus images: a survey

R Sarki, K Ahmed, H Wang, Y Zhang - IEEE access, 2020 - ieeexplore.ieee.org
Diabetes Mellitus, or Diabetes, is a disease in which a person's body fails to respond to
insulin released by their pancreas, or it does not produce sufficient insulin. People suffering …

Effective handling of missing values in datasets for classification using machine learning methods

A Palanivinayagam, R Damaševičius - Information, 2023 - mdpi.com
The existence of missing values reduces the amount of knowledge learned by the machine
learning models in the training stage thus affecting the classification accuracy negatively. To …

A smart glucose monitoring system for diabetic patient

A Rghioui, J Lloret, M Harane, A Oumnad - Electronics, 2020 - mdpi.com
Diabetic patients need ongoing surveillance, but this involves high costs for the government
and family. The combined use of information and communication technologies (ICTs) …

Alpha-Glucosidase and Alpha-Amylase Inhibitory Activities, Molecular Docking, and Antioxidant Capacities of Salvia aurita Constituents

NGER Etsassala, JA Badmus, JL Marnewick, EI Iwuoha… - Antioxidants, 2020 - mdpi.com
Diabetes mellitus (DM) is one of the most dangerous metabolic diseases with a high rate of
mortality worldwide. It is well known that insulin resistance and deficiency in insulin …

Human Serum/Plasma Glycoprotein Analysis by 1H-NMR, an Emerging Method of Inflammatory Assessment

R Fuertes-Martín, X Correig, JC Vallvé… - Journal of clinical …, 2020 - mdpi.com
Several studies suggest that variations in the concentration of plasma glycoproteins can
influence cellular changes in a large number of diseases. In recent years, proton nuclear …