State Required CME

Universal precautions

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

2,998 articles
Stay Ahead - Weekly Universal precautions research updates
Subscribe
Browse Categories
Showing 883-903 of 2,998 articles
COVIDSAVIOR: A Novel Sensor-Fusion and Deep Learning Based Framework for Virus Outbreaks.

The presented deep learning and sensor-fusion based assistive technology (Smart Facemask and Thermal...

Nov 2021 34917585
Identification of antibiotic resistance and virulence-encoding factors in Klebsiella pneumoniae by Raman spectroscopy and deep learning.

Klebsiella pneumoniae has become the number one bacterial pathogen that causes high mortality in cli...

Nov 2021 34843635
Detection and Segmentation of Mature Green Tomatoes Based on Mask R-CNN with Automatic Image Acquisition Approach.

Since the mature green tomatoes have color similar to branches and leaves, some are shaded by branch...

Nov 2021 34883843
Determination of probability of causative pathogen in infectious keratitis using deep learning algorithm of slit-lamp images.

Corneal opacities are important causes of blindness, and their major etiology is infectious keratiti...

Nov 2021 34811468
Accurate classification of Listeria species by MALDI-TOF mass spectrometry incorporating denoising autoencoder and machine learning.

Listeria monocytogenes belongs to the category of facultative anaerobic bacteria, and is the pathoge...

Nov 2021 34818574
Fish Segmentation in Sonar Images by Mask R-CNN on Feature Maps of Conditional Random Fields.

Imaging sonar systems are widely used for monitoring fish behavior in turbid or low ambient light wa...

Nov 2021 34833701
A baseline model including quantitative anti-HBc to predict response of peginterferon in HBeAg-positive chronic hepatitis B patients.

BACKGROUND: Few models to predict antiviral response of peginterferon were used in hepatitis B e ant...

Nov 2021 35485336
Leveraging machine learning essentiality predictions and chemogenomic interactions to identify antifungal targets.

Fungal pathogens pose a global threat to human health, with Candida albicans among the leading kille...

Nov 2021 34764269
Employing phylogenetic tree shape statistics to resolve the underlying host population structure.

BACKGROUND: Host population structure is a key determinant of pathogen and infectious disease transm...

Nov 2021 34758743
Physics-informed deep learning characterizes morphodynamics of Asian soybean rust disease.

Medicines and agricultural biocides are often discovered using large phenotypic screens across hundr...

Nov 2021 34741028
Artificial Intelligence of Things (AIoT) Enabled Floor Monitoring System for Smart Home Applications.

To enable smart homes and relative applications, the floor monitoring system with embedded triboelec...

Nov 2021 34723468
Neural Network-Oriented Big Data Model for Yoga Movement Recognition.

The use of computer vision for target detection and recognition has been an interesting and challeng...

Oct 2021 34751226
Association of Individual and Community Factors With Hepatitis C Infections Among Pregnant People and Newborns.

IMPORTANCE: The opioid crisis has increasingly affected pregnant people and infants. Hepatitis C vir...

Oct 2021 35977167
Machine Learning-Based Single Cell and Integrative Analysis Reveals That Baseline mDC Predisposition Correlates With Hepatitis B Vaccine Antibody Response.

Vaccination to prevent infectious disease is one of the most successful public health interventions ...

Oct 2021 34777332
Computed Tomography Image under Convolutional Neural Network Deep Learning Algorithm in Pulmonary Nodule Detection and Lung Function Examination.

The objective of this study was to perform segmentation and extraction of CT images of pulmonary nod...

Oct 2021 34721823
Elevated Plasma von Willebrand Factor Levels Are Associated With Subsequent Ischemic Stroke in Persons With Treated HIV Infection.

BACKGROUND: We assessed whether key biomarkers of endothelial activation and hemostasis/thrombosis w...

Oct 2021 35350814
Browse Categories