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Infection control / Modes of transmission

Latest AI and machine learning research in infection control / modes of transmission for healthcare professionals.

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Showing 274-294 of 5,074 articles
Surface and underwater human pose recognition based on temporal 3D point cloud deep learning.

Airborne surface and underwater human pose recognition are crucial for various safety and surveillan...

Serological and Molecular Characterization of Occult HBV Infection in Blood Donors from South Italy.

Despite good vaccine coverage and careful blood donor selection policies, hepatitis B virus (HBV) is...

On the prediction of SAV transmission among Norwegian aquaculture sites.

Pancreas Disease (PD) is a viral disease that affects Atlantic salmon (Salmo salar) in Norwegian, Sc...

Non-Contact Thermal and Acoustic Sensors with Embedded Artificial Intelligence for Point-of-Care Diagnostics.

This work involves exploring non-invasive sensor technologies for data collection and preprocessing,...

A machine learning-based universal outbreak risk prediction tool.

In order to prevent and control the increasing number of serious epidemics, the ability to predict t...

Fabrication and Characterization of an Enzyme-Triggered, Therapeutic-Releasing Hydrogel Bandage Contact Lens Material.

PURPOSE: The purpose of this study was to develop an enzyme-triggered, therapeutic-releasing bandage...

The Influence of Airborne Particulate Matter on the Risk of Gestational Diabetes Mellitus: A Large Retrospective Study in Chongqing, China.

Emerging research findings suggest that airborne particulate matter might be a risk factor for gesta...

Importance of Hospital Infection Control.

The increasing demand for healthcare-acquired infection (HAI) control practices and services has int...

Integrative deep learning framework predicts lipidomics-based investigation of preservatives on meat nutritional biomarkers and metabolic pathways.

Preservatives are added as antimicrobial agents to extend the shelf life of meat. Adding preservativ...

Deep Learning-Based Visual Complexity Analysis of Electroencephalography Time-Frequency Images: Can It Localize the Epileptogenic Zone in the Brain?

In drug-resistant epilepsy, a visual inspection of intracranial electroencephalography (iEEG) signal...

Self-Adaptive Perception of Object's Deformability with Multiple Deformation Attributes Utilizing Biomimetic Mechanoreceptors.

The perception of object's deformability in unstructured interactions relies on both kinesthetic and...

Automatic diagnosis of true proximity between the mandibular canal and the third molar on panoramic radiographs using deep learning.

Evaluating the mandibular canal proximity is crucial for planning mandibular third molar extractions...

SPIN-CGNN: Improved fixed backbone protein design with contact map-based graph construction and contact graph neural network.

Recent advances in deep learning have significantly improved the ability to infer protein sequences ...

Sensitivity Evaluation of Enveloped and Non-enveloped Viruses to Ethanol Using Machine Learning: A Systematic Review.

Viral diseases are a severe public health issue worldwide. During the coronavirus pandemic, the use ...

AttCON: With better MSAs and attention mechanism for accurate protein contact map prediction.

Protein contact map prediction is a critical and vital step in protein structure prediction, and its...

Real-Time Robotic Presentation Skill Scoring Using Multi-Model Analysis and Fuzzy Delphi-Analytic Hierarchy Process.

Existing methods for scoring student presentations predominantly rely on computer-based implementati...

Machine learning-coupled tactile recognition with high spatiotemporal resolution based on cross-striped nanocarbon piezoresistive sensor array.

Flexible pressure sensor arrays have been playing important roles in various applications of human-m...

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