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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 673-693 of 5,083 articles
Artificial neural networks combined multi-wavelength transmission spectrum feature extraction for sensitive identification of waterborne bacteria.

Present research is focused on the rapid and accurate identification of bacterial species based on a...

Machine learning enables design automation of microfluidic flow-focusing droplet generation.

Droplet-based microfluidic devices hold immense potential in becoming inexpensive alternatives to ex...

Active and Passive Electro-Optical Sensors for Health Assessment in Food Crops.

In agriculture, early detection of plant stresses is advantageous in preventing crop yield losses. R...

Sports balls as potential SARS-CoV-2 transmission vectors.

Objects passed from one player to another have not been assessed for their ability to transmit sever...

Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts.

Predicting compound-protein affinity is beneficial for accelerating drug discovery. Doing so without...

Soft Graspers for Safe and Effective Tissue Clutching in Minimally Invasive Surgery.

OBJECTIVE: Surgical graspers must be safe, not to damage tissue, and effective, to establish a stabl...

How artificial intelligence may help the Covid-19 pandemic: Pitfalls and lessons for the future.

The clinical severity, rapid transmission and human losses due to coronavirus disease 2019 (Covid-19...

Determining Potassium Bromate in the Inhalable Aerosol Fraction in Workplace Air with Ion Chromatography.

BACKGROUND: The article presents the results of studies performed in order to develop a new method o...

Exploring optimal control of epidemic spread using reinforcement learning.

Pandemic defines the global outbreak of a disease having a high transmission rate. The impact of a p...

Machine-learning-driven biomarker discovery for the discrimination between allergic and irritant contact dermatitis.

Contact dermatitis tremendously impacts the quality of life of suffering patients. Currently, diagno...

Detection of eye contact with deep neural networks is as accurate as human experts.

Eye contact is among the most primary means of social communication used by humans. Quantification o...

Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels.

Early and accurate diagnosis of Coronavirus disease (COVID-19) is essential for patient isolation an...

Ultrasound transmission tomography image reconstruction with a fully convolutional neural network.

Image reconstruction of ultrasound computed tomography based on the wave equation is able to show mu...

Accuracy of dental implant surgery with robotic position feedback and registration algorithm: An in-vitro study.

BACKGROUND: The purpose of this study was to develop and validate a positioning method with hand-gui...

Implementation of anisotropic soft pads in a surgical gripper for secure and gentle grip on vulnerable tissues.

Current surgical grippers rely on friction grip, where normal loads (i.e. pinch forces) are translat...

Feed rate control in robotic bone drilling process.

The bone drilling process is characterised by various parameters, the most important of which are th...

Combining Recurrent Neural Networks and Adversarial Training for Human Motion Synthesis and Control.

This paper introduces a new generative deep learning network for human motion synthesis and control....

Restoration of sensory information via bionic hands.

Individuals who have lost the use of their hands because of amputation or spinal cord injury can use...

A nanoemulsion-based nanogel of essential oil with leishmanicidal activity against and .

Cutaneous leishmaniasis is one of the diseases that severely affects human skin. Nanogels are the we...

Renal function in children infected with : a case-control study of an endemic Ghanaian community.

Schistosomiasis has been associated with kidney diseases leading to serious health problems especial...

Making eye contact with a robot: Psychophysiological responses to eye contact with a human and with a humanoid robot.

Previous research has shown that eye contact, in human-human interaction, elicits increased affectiv...

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