Latest AI and machine learning research in pancreatic diseases for healthcare professionals.
The development of antitumor drugs has attracted cancer researchers and the identification of novel antitumor lead compounds is certainly of great interest. The fermentation broth of sp. N11-8, which was isolated from the Antarctic waters, showed cytotoxicity towards different cells. A cytotoxic polypeptide, PBN11-8, was purified from the fermentation broth of sp. N11-8 using ultrafiltration, am...
PURPOSE: We sought to assess whether machine learning-based classification approaches can improve the classification of pancreatic tumor models relative to more simplistic analysis methods, using T relaxation, CEST, and DCE MRI.
This study assessed the ethanol and methanol contents of homemade spirit (Kachasu) sold in Blantyre, Malawi. The likelihood of ethanol and methanol to...
Oxidative stress, inflammation status, endothelial dysfunction, and imbalanced lipid metabolism play a major role in cardiovascular disease. Bioactive...
Artificial pancreas system (APS) is a viable option to treat diabetic patients. Researchers, however, have not conclusively determined the best contro...
Selective catalytic oxidation of carbohydrate-derived 5-hydroxymethylfurfural, furfuryl alcohol, and various aromatic and aliphatic compounds to the c...
In view of high mortality associated with coronary artery disease (CAD), development of an early predicting tool will be beneficial in reducing the bu...
BACKGROUND: The population impact of alcohol screening and brief intervention might be increased by approaching an entire population rather than indiv...
BACKGROUND: A statistical pipeline was developed and used for determining candidate genes and candidate gene coexpression networks involved in 2 alcoh...
Glucagonoma is an extremely rare neuroendocrine tumor arising from pancreatic islet cells. Although patients with glucagonoma manifest multiple typic...
BACKGROUND: Efficient computational recognition and segmentation of target organ from medical images are foundational in diagnosis and treatment, espe...
The World Health Organization (WHO) has clear guidelines regarding the use of Ki67 index in defining the proliferative rate and assigning grade for pa...
Opioid overdose-related morbidity and mortality remain one of the most pressing public health crises. Overdose education and naloxone distribution hav...
Recent advances in 3D fully convolutional networks (FCN) have made it feasible to produce dense voxel-wise predictions of volumetric images. In this w...
Accurate and automatic organ segmentation from 3D radiological scans is an important yet challenging problem for medical image analysis. Specifically,...
OBJECTIVE: We investigated the potential of computer-based models to decode diagnosis and lifetime consumption in alcohol dependence (AD) from grey-ma...
Electronic Health Records (EHR) are mainly designed to record relevant patient information during their stay in the hospital for administrative purpos...
In vitro, pancreatic β-cells tend to reduce their ability to aggregate into islets and lose insulin-producing ability, likely due to insufficient cell...
INTRODUCTION: Pro-inflammatory cytokines, such as interleukin (IL)-6, tumour necrosis factor (TNF)α, and monocyte chemoattractant protein (MCP)-1, are...
We sought to assess mental health at the time of antiretroviral therapy (ART) initiation and subsequent retention in care over a six-month follow-up p...