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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 295-315 of 5,074 articles
Application technology for bioherbicides: challenges and opportunities with dry inoculum and liquid spray formulations.

Bioherbicides offer many potential benefits as part of an integrated weed management system or a tot...

Neuroimaging, wearable sensors, and blood-based biomarkers reveal hyperacute changes in the brain after sub-concussive impacts.

Impacts in mixed martial arts (MMA) have been studied mainly in regard to the long-term effects of c...

Viscoelastic blood coagulation testing system enabled by a non-contact triboelectric angle sensor.

Thromboelastography (TEG) remains a convenient and effective viscoelastic blood coagulation testing ...

Oligohexamethylene Guanidine Derivative as a Means to Prevent Biological Fouling of a Polymer-Based Composite Optical Oxygen Sensor.

The use of biocidal agents is a common practice for protection against biofouling in biomass-rich en...

Waterborne pathogens detection technologies: advances, challenges, and future perspectives.

The World Health Organization (WHO) estimated that pathogens like Escherichia coli, primarily linked...

Artificial intelligence and classic methods to segment and characterize spherical objects in micrographs of industrial emulsions.

The stability of emulsions is a critical concern across multiple industries, including food products...

Variable stiffness soft robotic gripper: design, development, and prospects.

The advent of variable stiffness soft robotic grippers furnishes a conduit for exploration and manip...

From Proteins to Ligands: Decoding Deep Learning Methods for Binding Affinity Prediction.

Accurate in silico prediction of protein-ligand binding affinity is important in the early stages of...

Environmental force sensing helps robots traverse cluttered large obstacles.

Robots can traverse sparse obstacles by sensing environmental geometry and avoiding contact with obs...

A deep learning LSTM-based approach for forecasting annual pollen curves: Olea and Urticaceae pollen types as a case study.

Airborne pollen can trigger allergic rhinitis and other respiratory diseases in the synthesised popu...

Simple and Multiplexed Detection of Nucleic Acid Targets Based on Fluorescent Ring Patterns and Deep Learning Analysis.

Simple diagnostic tests for nucleic acid targets can provide great advantages for applications such ...

Intelligent diagnosis and prediction of turbine digital electro-hydraulic control system faults: Design and experimentation.

A physical modeling approach was adopted to build a Digital Electro-Hydraulic Control (DEH) system s...

COVID-19 and beyond: leveraging artificial intelligence for enhanced outbreak control.

COVID-19 has brought significant changes to our political, social, and technological landscape. This...

Transformation of foldable robotic hand to scissor-like shape for pinching based on human hand movement.

Increasing the number of degrees of freedom for multi-finger robotic hands is necessary to achieve h...

Predicting dengue transmission rates by comparing different machine learning models with vector indices and meteorological data.

Machine learning algorithms (ML) are receiving a lot of attention in the development of predictive m...

Seeking arrangements: cell contact as a cleavage-stage biomarker.

RESEARCH QUESTION: What can three-dimensional cell contact networks tell us about the developmental ...

Risk of sexual transmission of HIV in the context of viral load suppression.

BACKGROUND: In 2018, the Public Health Agency of Canada (PHAC) published a systematic review to calc...

Ultraviolet disinfection (UV-D) robots: bridging the gaps in dentistry.

Maintaining a microbe-free environment in healthcare facilities has become increasingly crucial for ...

Automated quantification of vacuole fusion and lipophagy in from fluorescence and cryo-soft X-ray microscopy data using deep learning.

During starvation in the yeast vacuolar vesicles fuse and lipid droplets (LDs) can become internali...

Event-triggered impulsive quasi-synchronization for BAM neural networks with reliable redundant channel.

This work addresses the quasi-synchronization of delay master-slave BAM neural networks. To improve ...

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