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Universal precautions

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

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Showing 127-147 of 1,970 articles
Precision Strike Strategy for Liver Diseases Trilogy with Xiao-Chai-Hu Decoction: A Meta-Analysis with Machine Learning.

BACKGROUND AND PURPOSE: The progression from hepatitis to liver fibrosis (LF) and ultimately to hepa...

Reconstruction-based approach for chest X-ray image segmentation and enhanced multi-label chest disease classification.

U-Net is a commonly used model for medical image segmentation. However, when applied to chest X-ray ...

Structure and Functions of NDR1/HIN1-Like (NHL) Proteins in Plant Development and Response to Environmental Stresses.

The NON-RACE-SPECIFIC DISEASE RESISTANCE 1/harpin-induced 1-LIKE (NHL) gene family plays pivotal rol...

A comparative study on TB incidence and HIVTB coinfection using machine learning models on WHO global TB dataset.

Tuberculosis, a deadly and contagious disease caused by Mycobacterium tuberculosis, remains a signif...

Utilizing artificial intelligence to predict and analyze socioeconomic, environmental, and healthcare factors driving tuberculosis globally.

Tuberculosis (TB) is a major global health issue, contributing significantly to mortality and morbid...

Genome evolution of Kaposi sarcoma-associated herpesvirus (KSHV).

UNLABELLED: Kaposi sarcoma (KS) is the most common cancer in people living with HIV (PLWH), particul...

Prediction of barberry witches' broom rust disease using artificial intelligence models: a case study in South Khorasan, Iran.

The South Khorasan Province in Iran is the main producer of seedless barberry, accounting for 98% of...

Fabric integrated wearable glove with a twisted string actuator for manual handling tasks.

Wearable robotic gloves with grip-assistive functionality offer a promising solution for high-intens...

A Comprehensive Review of Deep Learning in Computer Vision for Monitoring Apple Tree Growth and Fruit Production.

The high nutritional and medicinal value of apples has contributed to their widespread cultivation w...

Predicting viral host codon fitness and path shifting through tree-based learning on codon usage biases and genomic characteristics.

Viral codon fitness (VCF) of the host and the VCF shifting has seldom been studied under quantitativ...

Direct-acting antivirals (DAA) positively affect depression and cognitive function in patients with chronic hepatitis C.

The aim of the study was to determine how depression and cognitive dysfunction in patients with chro...

Characterization of Enterocytozoon hepatopenaei infection stages in shrimp using machine learning and gene network analysis.

Enterocytozoon hepatopenaei (EHP), causing hepatopancreatic microsporidiosis (HPM), significantly im...

Using deep learning artificial intelligence for sex identification and taxonomy of sand fly species.

Sandflies are vectors for several tropical diseases such as leishmaniasis, bartonellosis, and sandfl...

Enlightened prognosis: Hepatitis prediction with an explainable machine learning approach.

Hepatitis is a widespread inflammatory condition of the liver, presenting a formidable global health...

Computer vision and tactile glove: A multimodal model in lifting task risk assessment.

Work-related injuries from overexertion, particularly lifting, are a major concern in occupational s...

Innovative IoT-enabled mask detection system: A hybrid deep learning approach for public health applications.

The integration of IoT and deep learning has revolutionized real-time monitoring systems, particular...

Rapid and accurate identification of foodborne bacteria: a combined approach using confocal Raman micro-spectroscopy and explainable machine learning.

This study proposes a rapid identification method for foodborne pathogens by combining Raman spectro...

Systematic review of infodemiology studies using artificial intelligence: social media posts on HIV preexposure prophylaxis.

OBJECTIVES: To explore how artificial intelligence (AI) can enhance infodemiology, which distributes...

Role of eccentricity based topological descriptors to predict anti-HIV drugs attributes with supervised machine learning algorithms.

Chemical graphs are mathematical representations of molecular structures, where atoms are represente...

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