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Universal precautions

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

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Characterization of low level viraemia in HIV-infected patients receiving boosted protease inhibitor-based antiretroviral regimens.

To understand the pathogenesis of low level viraemia (LLV) in HIV-infected patients on boosted prote...

Design, Modeling, and Evaluation of Fabric-Based Pneumatic Actuators for Soft Wearable Assistive Gloves.

Textile fabrics are compliant, lightweight, and inherently anisotropic, making them promising for th...

Person Re-Identification with Feature Pyramid Optimization and Gradual Background Suppression.

Compared with face recognition, the performance of person re-identification (re-ID) is still far fro...

Characterizing Protein-Ligand Binding Using Atomistic Simulation and Machine Learning: Application to Drug Resistance in HIV-1 Protease.

Over the past several decades, atomistic simulations of biomolecules, whether carried out using mole...

VAMPr: VAriant Mapping and Prediction of antibiotic resistance via explainable features and machine learning.

Antimicrobial resistance (AMR) is an increasing threat to public health. Current methods of determin...

Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals.

Several European countries have established criteria for prioritising initiation of treatment in pat...

An effective approach for CT lung segmentation using mask region-based convolutional neural networks.

Computer vision systems have numerous tools to assist in various medical fields, notably in image di...

Drug resistance patterns in HIV patients with virologic failure in Iran.

We reviewed the medical charts of 1,700 patients diagnosed with HIV who referred to a central HIV cl...

Clinical impact of normal alanine aminotransferase on direct-acting antiviral outcome in patients with chronic hepatitis C virus infection.

BACKGROUND AND AIMS: This study aimed to clarify the clinical picture of hepatitis C virus (HCV) car...

Identification of Tomato Disease Types and Detection of Infected Areas Based on Deep Convolutional Neural Networks and Object Detection Techniques.

This study develops tomato disease detection methods based on deep convolutional neural networks and...

Antioxidant capacity, antimicrobial activities and chemical composition of subsp essential oil.

This study aimed to evaluate the composition, antioxidant capacity and antibacterial effects of sub...

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation.

The state-of-the-art models for medical image segmentation are variants of U-Net and fully convoluti...

Machine-learning based patient classification using Hepatitis B virus full-length genome quasispecies from Asian and European cohorts.

Chronic infection with Hepatitis B virus (HBV) is a major risk factor for the development of advance...

Isolation, Identification and Characteristics of From Diseased Crucian Carp ().

species often cause disease in farmed fish. In the present study, dominant bacteria were isolated f...

On semiparametric estimation of a path-specific effect in the presence of mediator-outcome confounding.

Path-specific effects constitute a broad class of mediated effects from an exposure to an outcome vi...

Investigating potato late blight physiological differences across potato cultivars with spectroscopy and machine learning.

Understanding plant disease resistance is important in the integrated management of Phytophthora inf...

Mounting Behaviour Recognition for Pigs Based on Deep Learning.

For both pigs in commercial farms and biological experimental pigs at breeding bases, mounting behav...

Virological Outcome Measures During Analytical Treatment Interruptions in Chronic HIV-1-Infected Patients.

BACKGROUND: Analytical treatment interruptions (ATIs) are essential in research on HIV cure. However...

Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning.

Raman optical spectroscopy promises label-free bacterial detection, identification, and antibiotic s...

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