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Universal precautions

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

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Central Object Segmentation by Deep Learning to Continuously Monitor Fruit Growth through RGB Images.

Monitoring fruit growth is useful when estimating final yields in advance and predicting optimum har...

Correlation of serum microRNA-122 level with the levels of Alanine aminotransferase and HBV-DNA in Chronic HBV-infected patients.

The microRNA-122 (miR-122) is a liver-specific microRNA that can be used as a potential molecular m...

prPred-DRLF: Plant R protein predictor using deep representation learning features.

Plant resistance (R) proteins play a significant role in the detection of pathogen invasion. Accurat...

StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors.

Fast and accurate identification of inhibitors with potency against HCV NS5B polymerase is currently...

Segmentation of Overlapping Cervical Cells with Mask Region Convolutional Neural Network.

The task of segmenting cytoplasm in cytology images is one of the most challenging tasks in cervix c...

An artificial intelligence model to predict hepatocellular carcinoma risk in Korean and Caucasian patients with chronic hepatitis B.

BACKGROUND & AIMS: Several models have recently been developed to predict risk of hepatocellular car...

Breast nodule classification with two-dimensional ultrasound using Mask-RCNN ensemble aggregation.

PURPOSE: The purpose of this study was to create a deep learning algorithm to infer the benign or ma...

IFSS-Net: Interactive Few-Shot Siamese Network for Faster Muscle Segmentation and Propagation in Volumetric Ultrasound.

We present an accurate, fast and efficient method for segmentation and muscle mask propagation in 3D...

Weakly Supervised Cell Segmentation by Point Annotation.

We propose weakly supervised training schemes to train end-to-end cell segmentation networks that on...

Face with Mask Detection in Thermal Images Using Deep Neural Networks.

As the interest in facial detection grows, especially during a pandemic, solutions are sought that w...

Incorporating metadata in HIV transmission network reconstruction: A machine learning feasibility assessment.

HIV molecular epidemiology estimates the transmission patterns from clustering genetically similar v...

A Machine Learning Model for Evaluating Imported Disease Screening Strategies in Immigrant Populations.

Given the high prevalence of imported diseases in immigrant populations, it has postulated the need ...

Change of Cytokines in Chronic Hepatitis B Patients and HBeAg are Positively Correlated with HBV RNA, Based on Real-world Study.

BACKGROUND AND AIMS: The natural course of chronic hepatitis B virus (HBV) infection is widely studi...

Gallstone Disease in Cirrhosis-Pathogenesis and Management.

Gallstones are more common in patients with cirrhosis of the liver, and the incidence increases with...

Are nucleos(t)ide analogues effective against severe outcomes in COVID-19 and hepatitis B virus coinfection?

BACKGROUND AND AIM: The impact of chronic hepatitis B virus (HBV) infection and nucleos(t)ide analog...

Application of green synthesised copper iodide particles on cotton fabric-protective face mask material against COVID-19 pandemic.

Microorganisms cause variety of diseases that constitutes a severe threat to mankind. Due to the ups...

Automatic Assessment of Mitral Regurgitation Severity Using the Mask R-CNN Algorithm with Color Doppler Echocardiography Images.

Accurate assessment of mitral regurgitation (MR) severity is critical in clinical diagnosis and trea...

AI enabled sign language recognition and VR space bidirectional communication using triboelectric smart glove.

Sign language recognition, especially the sentence recognition, is of great significance for lowerin...

Accelerating antibiotic discovery through artificial intelligence.

By targeting invasive organisms, antibiotics insert themselves into the ancient struggle of the host...

Using machine learning and big data to explore the drug resistance landscape in HIV.

Drug resistance mutations (DRMs) appear in HIV under treatment pressure. DRMs are commonly transmitt...

Machine Learning of Bacterial Transcriptomes Reveals Responses Underlying Differential Antibiotic Susceptibility.

antibiotic susceptibility testing often fails to accurately predict drug efficacies, in part due t...

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