Universal precautions

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

3,004 articles

Artificial Intelligence and Machine Learning for HIV Prevention: Emerging Approaches to Ending the Epidemic.

PURPOSE OF REVIEW: We review applications of artificial intelligence (AI), including machine learnin...

Jun 2020 32347446

Machine-learning classification of neurocognitive performance in children with perinatal HIV initiating de novo antiretroviral therapy.

OBJECTIVE: To develop a predictive model of neurocognitive trajectories in children with perinatal H...

Apr 2020 31895148

Super learner analysis of real-time electronically monitored adherence to antiretroviral therapy under constrained optimization and comparison to non-differentiated care approaches for persons living with HIV in rural Uganda.

INTRODUCTION: Real-time electronic adherence monitoring (EAM) systems could inform on-going risk ass...

Mar 2020 32202067

A Bayesian classification model for discriminating common infectious diseases in Zhejiang province, China.

To develop a classification model for accurately discriminating common infectious diseases in Zhejia...

Feb 2020 32080115

DeePaC: predicting pathogenic potential of novel DNA with reverse-complement neural networks.

MOTIVATION: We expect novel pathogens to arise due to their fast-paced evolution, and new species to...

Jan 2020 31298694

PathFlowAI: A High-Throughput Workflow for Preprocessing, Deep Learning and Interpretation in Digital Pathology.

The diagnosis of disease often requires analysis of a biopsy. Many diagnoses depend not only on the ...

Jan 2020 31797614

Systems and Precision Medicine in Necrotizing Soft Tissue Infections.

Necrotizing soft tissue infections (NSTI) are multifactorial and characterized by dysfunctional, tim...

Jan 2020 33079370

Deep Learning Analysis of Cerebral Blood Flow to Identify Cognitive Impairment and Frailty in Persons Living With HIV.

BACKGROUND: Deep learning algorithms of cerebral blood flow were used to classify cognitive impairme...

Dec 2019 31714429

Network context matters: graph convolutional network model over social networks improves the detection of unknown HIV infections among young men who have sex with men.

OBJECTIVE: HIV infection risk can be estimated based on not only individual features but also social...

Nov 2019 31197365

SPRINT-Gly: predicting N- and O-linked glycosylation sites of human and mouse proteins by using sequence and predicted structural properties.

MOTIVATION: Protein glycosylation is one of the most abundant post-translational modifications that ...

Oct 2019 30903686

Using Smartphone Survey Data and Machine Learning to Identify Situational and Contextual Risk Factors for HIV Risk Behavior Among Men Who Have Sex with Men Who Are Not on PrEP.

"Just-in-time" interventions (JITs) delivered via smartphones have considerable potential for reduci...

Aug 2019 31073817

Artificial intelligence in drug combination therapy.

Currently, the development of medicines for complex diseases requires the development of combination...

Jul 2019 29438494

Clinical Decision Support Systems: From the Perspective of Small and Imbalanced Data Set.

Clinical decision support systems are data analysis software that supports health professionals' dec...

Jul 2019 31349338

Automatic PAP Mask Sizing with an Error Correcting Autoencoder.

We present the use of an error correcting autoencoder stage to a convolutional neural network model ...

Jul 2019 31946674

Bastion3: a two-layer ensemble predictor of type III secreted effectors.

MOTIVATION: Type III secreted effectors (T3SEs) can be injected into host cell cytoplasm via type II...

Jun 2019 30388198

DeepT3: deep convolutional neural networks accurately identify Gram-negative bacterial type III secreted effectors using the N-terminal sequence.

MOTIVATION: Various bacterial pathogens can deliver their secreted substrates also called effectors ...

Jun 2019 30407530

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