COVID-19

Single-Channel Real-Time Drowsiness Detection Based on Electroencephalography.

The need of a reliable drowsiness detection system is arising today, as drowsiness is considered as a major cause for accidents as much as alcohol. In this paper, we propose a real-time drowsiness detection algorithm based on a single-channel electroencephalography (EEG) for wearable devices without demanding computing and power resources. The proposed algorithm adopts a cumulative counter to extr...

DeFine: deep convolutional neural networks accurately quantify intensities of transcription factor-DNA binding and facilitate evaluation of functional non-coding variants.

The complex system of gene expression is regulated by the cell type-specific binding of transcription factors (TFs) to regulatory elements. Identifying variants that disrupt TF binding and lead to human diseases remains a great challenge. To address this, we implement sequence-based deep learning models that accurately predict the TF binding intensities to given DNA sequences. In addition to accur...

Biomedical informatics and machine learning for clinical genomics.

While tens of thousands of pathogenic variants are used to inform the many clinical applications of genomics, there remains limited information on qua...

Deep learning of genomic variation and regulatory network data.

The human genome is now investigated through high-throughput functional assays, and through the generation of population genomic data. These advances ...

Infection prevention and control challenges of using a therapeutic robot.

This work was part of a National Institute for Health Research participatory action research and practice development study, which focused on the use ...

Chromatin accessibility prediction via a hybrid deep convolutional neural network.

MOTIVATION: A majority of known genetic variants associated with human-inherited diseases lie in non-coding regions that lack adequate interpretation,...

ICG: a wiki-driven knowledgebase of internal control genes for RT-qPCR normalization.

Real-time quantitative PCR (RT-qPCR) has become a widely used method for accurate expression profiling of targeted mRNA and ncRNA. Selection of approp...

Deep Learning Role in Early Diagnosis of Prostate Cancer.

The objective of this work is to develop a computer-aided diagnostic system for early diagnosis of prostate cancer. The presented system integrates bo...

[Construction of a High-precision Chemical Prediction System Using Human ESCs].

　Toxicity prediction based on stem cells and tissue derived from stem cells plays a very important role in the fields of biomedicine and pharmacology....

[Single-chain antibodies from alpaca for the detection of Fasciola hepatica antigens].

OBJECTIVES.: To produce recombinant single-chain antibodies from alpaca that will bind to the excreted-secreted (ES) Fasciola hepatica antigen with hi...

[Role of high mobility group protein B1 in 
IL-1α-induced endothelial cell senescence].

To explore the effect of interleukin-1α (IL-1α) on the senescence of human umbilical vein endothelial cells (HUVECs) and the function of high mobility...

[Effects of Lactobacillus paracasei N1115 combined with fructooligosaccharides on non-alcoholic fatty liver disease induced by high-fat diet in mice].

To investigate the effects of Lactobacillus paracasei N1115 combined with fructooligosaccharides (FOS) on non-alcoholic fatty liver disease (NAFLD) i...

Prediction of delayed retention of antibodies in hydrophobic interaction chromatography from sequence using machine learning.

MOTIVATION: The hydrophobicity of a monoclonal antibody is an important biophysical property relevant for its developability into a therapeutic. In ad...

Prokaryotic Expression of Hepatitis C Virus-NS3 Protein and Preparation of a Monoclonal Antibody.

Hepatitis C virus (HCV) is a significant health threat that has been extensively investigated worldwide. Improving the sensitivity and specificity of ...

Rapid Communication: Prolactin and hydrocortisone impact TNFα-mediated mitogen-activated protein kinase signaling and inflammation of bovine mammary epithelial (MAC-T) cells.

The objective of this study was to evaluate the effects of the hormones prolactin (PRL) and hydrocortisone (HC) on bovine mammary alveolar (MAC-T) cel...

[Alpinetin promotes the binding of PPAR and methyltransferase].

Objective To screen the nucleus located-methyltransferase in murine macrophages (RAW246.7 cells) after peroxisome proliferator-activated receptors (PP...

Impact of metformin on serum prostate-specific antigen levels: Data from the national health and nutrition examination survey 2007 to 2008.

PURPOSE: A possible association between metformin use and the development of prostate cancer (PCa) has been reported. However, there is limited inform...

Evaluation of a commercial quantitative Aspergillus fumigatus-specific IgM assay for the diagnosis of invasive pulmonary aspergillosis.

Invasive pulmonary aspergillosis (IPA) is a common fungal infection with high mortality rates in immunocompromised patients. Early diagnosis of IPA is...

DOMINO: Using Machine Learning to Predict Genes Associated with Dominant Disorders.

In contrast to recessive conditions with biallelic inheritance, identification of dominant (monoallelic) mutations for Mendelian disorders is more dif...

Design and Validation of a Biosensor Implantation Capsule Robot.

We have proposed a long-term, noninvasive, nonrestrictive method of delivering and implanting a biosensor within the body via a swallowable implantati...