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Universal precautions

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

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Showing 232-252 of 1,970 articles
Mask R-CNN assisted diagnosis of spinal tuberculosis.

The prevalence of spinal tuberculosis (ST) is particularly high in underdeveloped regions with inade...

Smart interfaces to assist the operator in the context of industry 4.0 with a 5S human-centric approach.

This paper explores the integration of haptic gloves and virtual reality (VR) environments to enhanc...

Biosecurity measures reducing spp. and hepatitis E virus prevalence in pig farms-a systematic review and meta-analysis.

spp. and hepatitis E virus (HEV) are significant foodborne zoonotic pathogens that impact the healt...

Empirical Comparison and Analysis of Artificial Intelligence-Based Methods for Identifying Phosphorylation Sites of SARS-CoV-2 Infection.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a member of the large coronavirus fa...

AI model using CT-based imaging biomarkers to predict hepatocellular carcinoma in patients with chronic hepatitis B.

BACKGROUND & AIMS: Various hepatocellular carcinoma (HCC) prediction models have been proposed for p...

TSegLab: Multi-stage 3D dental scan segmentation and labeling.

This study introduces a novel deep learning approach for 3D teeth scan segmentation and labeling, de...

Comparative transcriptomic and molecular biology analyses to explore potential immune responses to challenge in .

is a significant pathogen affecting shrimp and crab farming, particularly strains carrying genes as...

CabbageNet: Deep Learning for High-Precision Cabbage Segmentation in Complex Settings for Autonomous Harvesting Robotics.

Reducing damage and missed harvest rates is essential for improving efficiency in unmanned cabbage h...

Geometric deep learning improves generalizability of MHC-bound peptide predictions.

The interaction between peptides and major histocompatibility complex (MHC) molecules is pivotal in ...

A Machine Learning Model to Predict De Novo Hepatocellular Carcinoma Beyond Year 5 of Antiviral Therapy in Patients With Chronic Hepatitis B.

BACKGROUND AND AIMS: This study aims to develop and validate a machine learning (ML) model predictin...

Determining structures of RNA conformers using AFM and deep neural networks.

Much of the human genome is transcribed into RNAs, many of which contain structural elements that ar...

Automated age grading of female Culex pipiens by an optical sensor system coupled to a mosquito trap.

BACKGROUND: The age distribution of a mosquito population is a major determinant of its vectorial ca...

Antimicrobial activity of L. Pers against periodontal pathogen: .

BACKGROUND: is widely recognised as a periodontal pathogen. In recent years, there has been growing...

AI-based plastic waste sorting method utilizing object detection models for enhanced classification.

The export ban on plastic waste by China has brought domestic plastic recycling to the forefront of ...

Investigation of the efficiency of different reprocessing methods on disposable laryngeal masks contaminated with HBV DNA.

BACKGROUND: The use of laryngeal masks (LM) has increased widely today, both in anesthesia and in em...

Analysis of HIV infection among voluntary blood donors based on HIV ELISA and nucleic acid detection.

OBJECTIVE: To analyze the epidemiological characteristics of human immunodeficiency virus (HIV) infe...

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