COVID-19

An EEG-based machine learning method to screen alcohol use disorder.

Screening alcohol use disorder (AUD) patients has been challenging due to the subjectivity involved in the process. Hence, robust and objective methods are needed to automate the screening of AUD patients. In this paper, a machine learning method is proposed that utilized resting-state electroencephalography (EEG)-derived features as input data to classify the AUD patients and healthy controls and...

Application of artificial neural network model combined with four biomarkers in auxiliary diagnosis of lung cancer.

The purpose of the study was to explore the application of artificial neural network model in the auxiliary diagnosis of lung cancer and compare the effects of back-propagation (BP) neural network with Fisher discrimination model for lung cancer screening by the combined detections of four biomarkers of p16, RASSF1A and FHIT gene promoter methylation levels and the relative telomere length. Real-t...

Consistent quantitative gene product expression: #2. Antigen intensities on bone marrow cells are invariant between individuals.

Five reference populations in bone marrow specimens were identified by flow cytometry using specific combinations of reagents in order define the vari...

Transcriptomic alterations in Sitophilus zeamais in response to allyl isothiocyanate fumigation.

To study the fumigation mechanisms of Allyl isothiocyanate (AITC) a promising biorational alternative to present fumigants (phosphine and methyl bromi...

Learning the Relationship between the Primary Structure of HIV Envelope Glycoproteins and Neutralization Activity of Particular Antibodies by Using Artificial Neural Networks.

The dependency between the primary structure of HIV envelope glycoproteins (ENV) and the neutralization data for given antibodies is very complicated ...

Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation.

Accurate segmentation of perimysium plays an important role in early diagnosis of many muscle diseases because many diseases contain different perimys...

Cost-Sensitive Radial Basis Function Neural Network Classifier for Software Defect Prediction.

Effective prediction of software modules, those that are prone to defects, will enable software developers to achieve efficient allocation of resource...

Single Molecule Fluorescence Microscopy and Machine Learning for Rhesus D Antigen Classification.

In transfusion medicine, the identification of the Rhesus D type is important to prevent anti-D immunisation in Rhesus D negative recipients. In parti...

Prediction of Activity Cliffs Using Condensed Graphs of Reaction Representations, Descriptor Recombination, Support Vector Machine Classification, and Support Vector Regression.

Activity cliffs (ACs) are formed by structurally similar compounds with large differences in activity. Accordingly, ACs are of high interest for the e...

Decoding post-stroke motor function from structural brain imaging.

Clinical research based on neuroimaging data has benefited from machine learning methods, which have the ability to provide individualized predictions...

Use of "off-the-shelf" information extraction algorithms in clinical informatics: A feasibility study of MetaMap annotation of Italian medical notes.

Information extraction from narrative clinical notes is useful for patient care, as well as for secondary use of medical data, for research or clinica...

Fuzzy Clustering Applied to ROI Detection in Helical Thoracic CT Scans with a New Proposal and Variants.

The detection of pulmonary nodules is one of the most studied problems in the field of medical image analysis due to the great difficulty in the early...

tarSVM: Improving the accuracy of variant calls derived from microfluidic PCR-based targeted next generation sequencing using a support vector machine.

BACKGROUND: Targeted sequencing of discrete gene sets is a cost effective strategy to screen subjects for monogenic forms of disease. One method to ac...

Genomic Prediction for Quantitative Traits Is Improved by Mapping Variants to Gene Ontology Categories in Drosophila melanogaster.

Predicting individual quantitative trait phenotypes from high-resolution genomic polymorphism data is important for personalized medicine in humans, p...

A robust robotic high-throughput antibody purification platform.

Monoclonal antibodies (mAbs) have become the fastest growing segment in the drug market with annual sales of more than 40 billion US$ in 2013. The sel...

Prevalence of Factor V Leiden-G1691A and MTHFR-C677T Thrombosis Gene Modifier in Iron Deficiency Anemia: A Pathophysiological Effect in Indian Isolates.

Normal iron levels are required to prevent thrombocytosis by inhibiting thrombopoiesis. Thrombocytosis is usually associated with a mild iron deficien...

Evaluating clustering methods within the Artificial Ecosystem Algorithm and their application to bike redistribution in London.

This paper proposes and evaluates a solution to the truck redistribution problem prominent in London's Santander Cycle scheme. Due to the complexity o...

Production of a monoclonal antibody against aflatoxin M1 and its application for detection of aflatoxin M1 in fortified milk.

Aflatoxin M1 (AFM1) is a toxic metabolite of the fungal product aflatoxin found in milk. For food safety concern, maximum residual limits of AFM1 in m...

DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences.

Modeling the properties and functions of DNA sequences is an important, but challenging task in the broad field of genomics. This task is particularly...

G-Protein-Coupled Receptor 35 Mediates Human Saphenous Vein Vascular Smooth Muscle Cell Migration and Endothelial Cell Proliferation.

Vascular smooth muscle cell (VSMC) migration and proliferation is central to neointima formation in vein graft failure following coronary artery bypas...