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Universal precautions

Latest AI and machine learning research in universal precautions for healthcare professionals.

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Hepatitis B surface antigen reduction as a result of switching from long-term entecavir administration to tenofovir.

BACKGROUND AND AIM: Loss of hepatitis B surface antigen (HBsAg) is an important goal in the treatmen...

CD4+ versus CD8+ T-lymphocyte identification in an integrated microfluidic chip using light scattering and machine learning.

T lymphocytes are a group of cells representing the main effectors of human adaptive immunity. Chara...

A SEMIPARAMETRIC MODELING APPROACH USING BAYESIAN ADDITIVE REGRESSION TREES WITH AN APPLICATION TO EVALUATE HETEROGENEOUS TREATMENT EFFECTS.

Bayesian Additive Regression Trees (BART) is a flexible machine learning algorithm capable of captur...

Classification and Diagnosis of Thyroid Carcinoma Using Reinforcement Residual Network with Visual Attention Mechanisms in Ultrasound Images.

How to differentiate thyroid cancer nodules from a large number of benign nodules is always a challe...

Accurate Prediction for Antibody Resistance of Clinical HIV-1 Isolates.

Broadly neutralizing antibodies (bNAbs) targeting the HIV-1 envelope glycoprotein (Env) have promisi...

Uncovering Thousands of New Peptides with Sequence-Mask-Search Hybrid Peptide Sequencing Framework.

Typical analyses of mass spectrometry data only identify amino acid sequences that exist in referenc...

Correlation-Based Ensemble Feature Selection Using Bioinspired Algorithms and Classification Using Backpropagation Neural Network.

A framework for clinical diagnosis which uses bioinspired algorithms for feature selection and gradi...

The complement system in liver diseases: Evidence-based approach and therapeutic options.

Complement is usually seen to largely originate from the liver to accomplish its tasks systemically ...

Ontology based mining of pathogen-disease associations from literature.

BACKGROUND: Infectious diseases claim millions of lives especially in the developing countries each ...

Multioutput Perturbation-Theory Machine Learning (PTML) Model of ChEMBL Data for Antiretroviral Compounds.

Retroviral infections, such as HIV, are, until now, diseases with no cure. Medicine and pharmaceutic...

Machine-learning algorithms to identify key biosecurity practices and factors associated with breeding herds reporting PRRS outbreak.

Investments in biosecurity practices are made by producers to reduce the likelihood of introducing p...

Target-Specific Prediction of Ligand Affinity with Structure-Based Interaction Fingerprints.

Discovery and optimization of small molecule inhibitors as therapeutic drugs have immensely benefite...

Cytokeratin-Supervised Deep Learning for Automatic Recognition of Epithelial Cells in Breast Cancers Stained for ER, PR, and Ki-67.

Immunohistochemistry (IHC) of ER, PR, and Ki-67 are routinely used assays in breast cancer diagnosti...

Biocide susceptibilities and biofilm-forming capacities of Acinetobacter baumannii clinical isolates from Malaysia.

INTRODUCTION: Acinetobacter baumannii is a Gram-negative nosocomial pathogen that has the capacity t...

Region-of-interest undersampled MRI reconstruction: A deep convolutional neural network approach.

Compressive sensing enables fast magnetic resonance imaging (MRI) reconstruction with undersampled k...

Validation of a simple equation for glomerular filtration rate measurement based on plasma iohexol disappearance.

BACKGROUND: A simple equation for glomerular filtration rate (GFR) measurement based on only plasma ...

Targeting HIV/HCV Coinfection Using a Machine Learning-Based Multiple Quantitative Structure-Activity Relationships (Multiple QSAR) Method.

Human immunodeficiency virus type-1 and hepatitis C virus (HIV/HCV) coinfection occurs when a patien...

Noninvasive Evaluation of Liver Fibrosis Reverse Using Artificial Neural Network Model for Chronic Hepatitis B Patients.

The diagnostic performance of an artificial neural network model for chronic HBV-induced liver fibro...

Optical screening of hepatitis-B infected blood sera using optical technique and neural network classifier.

In this study we demonstrate the analysis of biochemical changes in the human blood sera infected wi...

Utilizing hybrid functional fuzzy wavelet neural networks with a teaching learning-based optimization algorithm for medical disease diagnosis.

Accurate medical disease diagnosis is considered to be an important classification problem. The main...

A Ligand-Based Virtual Screening Method Using Direct Quantification of Generalization Ability.

Machine learning plays an important role in ligand-based virtual screening. However, conventional ma...

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