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Universal precautions

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

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Showing 1891-1911 of 3,004 articles
Machine learning for phytopathology: from the molecular scale towards the network scale.

With the increasing volume of high-throughput sequencing data from a variety of omics techniques in ...

Sep 2021 33787847
A Deep Learning-Based Approach for Glomeruli Instance Segmentation from Multistained Renal Biopsy Pathologic Images.

Glomeruli instance segmentation from pathologic images is a fundamental step in the automatic analys...

Aug 2021 34294192
Improving the accuracy and convergence of drug permeation simulations via machine-learned collective variables.

Understanding the permeation of biomolecules through cellular membranes is critical for many biotech...

Jul 2021 34340389
Why do people oppose mask wearing? A comprehensive analysis of U.S. tweets during the COVID-19 pandemic.

OBJECTIVE: Facial masks are an essential personal protective measure to fight the COVID-19 (coronavi...

Jul 2021 33690794
Transfer learning for mobile real-time face mask detection and localization.

OBJECTIVE: Due to the COVID-19 pandemic, our daily habits have suddenly changed. Gatherings are forb...

Jul 2021 33713140
Vaxign2: the second generation of the first Web-based vaccine design program using reverse vaccinology and machine learning.

Vaccination is one of the most significant inventions in medicine. Reverse vaccinology (RV) is a sta...

Jul 2021 34009334
Systematic evaluation of machine learning methods for identifying human-pathogen protein-protein interactions.

In recent years, high-throughput experimental techniques have significantly enhanced the accuracy an...

May 2021 32459334
Identifying HIV-related digital social influencers using an iterative deep learning approach.

OBJECTIVES: Community popular opinion leaders have played a critical role in HIV prevention interven...

May 2021 33867491
Development of a predictive model for retention in HIV care using natural language processing of clinical notes.

OBJECTIVE: Adherence to a treatment plan from HIV-positive patients is necessary to decrease their m...

Jan 2021 33150369
m6A-Atlas: a comprehensive knowledgebase for unraveling the N6-methyladenosine (m6A) epitranscriptome.

N 6-Methyladenosine (m6A) is the most prevalent RNA modification on mRNAs and lncRNAs. It plays a pi...

Jan 2021 32821938
Big Data Analytics + Virtual Clinical Semantic Network (vCSN): An Approach to Addressing the Increasing Clinical Nuances and Organ Involvement of COVID-19.

The coronavirus disease 2019 (COVID-19) pandemic has revealed deep gaps in our understanding of the ...

Jan 2021 32796159
Chronic kidney disease in Hepatitis C and its association with liver cirrhosis and viral load: Revealing the importance of hematuria.

Hepatitis C virus (HCV) contributed as a risk factor for chronic kidney disease (CKD). Many studies ...

Jan 2021 35532700
Dermoscopic Features of Giant Molluscum Contagiosum in a Patient with Acquired Immunodeficiency Syndrome.

Giant molluscum contagiosum (MC) is a peculiar variant of the disease with the presence of multiple ...

Dec 2020 33834996
[Prevalence of transmitted drug resistance in HIV-infected treatment-naive patients in Chile].

BACKGROUND: Transmitted drug resistance (TDR) occurs in patients with HIV infection who are not expo...

Nov 2020 33844760
Development a hydrolysis probe-based quantitative PCR assay for the specific detection and quantification of .

BACKGROUND AND PURPOSE: is an emerging multidrug-resistant pathogen. The identification of this spe...

Sep 2020 33834143
Machine Learning Analysis Reveals Novel Neuroimaging and Clinical Signatures of Frailty in HIV.

BACKGROUND: Frailty is an important clinical concern for the aging population of people living with ...

Aug 2020 32251142
'I'm over the moon!': patient-perceived outcomes of hepatitis C treatment.

Understanding patient-perceived outcomes is crucial for assessing the effectiveness and acceptabilit...

Aug 2020 32580867
Systematic analysis of supervised machine learning as an effective approach to predicate β-lactam resistance phenotype in Streptococcus pneumoniae.

Streptococcus pneumoniae is the most common human respiratory pathogen, and β-lactam antibiotics hav...

Jul 2020 31192359
Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations.

Over the last decade, convolutional neural networks (CNNs) have emerged as the leading algorithms in...

Jul 2020 33018218
Assisting the Non-invasive Diagnosis of Liver Fibrosis Stages using Machine Learning Methods.

Fibrosis is a significant indication of chronic liver diseases often due to hepatitis C Virus. It is...

Jul 2020 33019198
Using Machine Learning Algorithms to Predict Antimicrobial Resistance and Assist Empirical Treatment.

Multi-drug-resistant (MDR) infections and their devastating consequences constitute a global problem...

Jun 2020 32604604
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