Latest AI and machine learning research in covid-19 for healthcare professionals.
This study aimed at investigating the association between haemostatic biomarkers, proinflammatory, and anti-inflammatory cytokines with chronic kidney disease in type 1 diabetic patients. Patients were divided into two groups: with nephropathy (albuminuria ≥ 30 mg/g and/or GFR < 60 mL/min/1.73 m(2)), n = 65; and without nephropathy (albuminuria < 30 mg/g and GFR ≥ 60 mL/min/1.73 m(2)), n = 60. INF...
Despite uncertain yield, guidelines endorse routine stress myocardial perfusion imaging (MPI) for patients with suspected acute coronary syndromes, unremarkable serial electrocardiograms, and negative troponin measurements. In these patients, outcome prediction and risk stratification models could spare unnecessary testing. This study therefore investigated the use of artificial neural networks (A...
Clostridium difficile infection is often overdiagnosed in patients with mild diarrhea. We evaluated 4 biomarkers as surrogates for clinically signific...
Multi-marker approaches have received a lot of attention recently in genome wide association studies and can enhance power to detect new associations ...
INTRODUCTION: High Resolution Melting (HRM) following PCR has been used to identify DNA genotypes. Fluorescent dyes bounded to double strand DNA lose ...
An evaluation was made of the kinetics and avidity of anti-Toxocara antibodies (IgG) in rabbits experimentally infected with embryonated Toxocara cani...
Oral tongue squamous cell carcinomas (OTSCC) are a homogeneous group of tumors characterized by aggressive behavior, early spread to lymph nodes and a...
PURPOSE: Stereotactic body radiotherapy (SBRT) has emerged as an effective treatment for localized prostate cancer. However, prostate-specific antigen...
The infection of human parvovirus B19 (B19V) is a common event in the general population, including volunteer blood donors. In some cases it can be as...
The use of multiple testing procedures in the context of gene-set testing is an important but relatively underexposed topic. If a multiple testing met...
It is becoming increasingly necessary to develop computerized methods for identifying the few disease-causing variants from hundreds discovered in eac...
Edge detection has beneficial applications in the fields such as machine vision, pattern recognition and biomedical imaging etc. Edge detection highli...
The detailed mechanical design of a digital mask projection stereolithgraphy system is described for the 3D printing of soft actuators. A commercially...
NADPH-cytochrome P450 reductase (CPR) plays an important role in cytochrome P450 function, and CPR knockdown in several insects leads to increased sus...
Histamine fish poisoning becomes highly concern not only in public health but also economic aspect. Histamine is produced from histidine in fish muscl...
Genome-wide association studies (GWAS) have extensively analyzed single SNP effects on a wide variety of common and complex diseases and found many ge...
Genome-wide association studies have revealed a vast amount of common loci associated to human complex diseases. Still, a large proportion of heritabi...
Feature selection aims to identify the most informative features for a compact and accurate data representation. As typical supervised feature selecti...
Elucidating the effects of naturally occurring genetic variation is one of the major challenges for personalized health and personalized medicine. Her...
In zone-level crash prediction, accounting for spatial dependence has become an extensively studied topic. This study proposes Support Vector Machine ...