HIV/AIDS

Molecular prevalence of parvovirus B19 among HIV1-infected patients in Iran.

Different outcomes of parvovirus B19 (B19V) infection in immunocompromised patients, including HIV1...

Sparse identification of nonlinear dynamics for model predictive control in the low-data limit.

Data-driven discovery of dynamics via machine learning is pushing the frontiers of modelling and con...

An open-source k-mer based machine learning tool for fast and accurate subtyping of HIV-1 genomes.

For many disease-causing virus species, global diversity is clustered into a taxonomy of subtypes wi...

Social robots to support children's well-being under medical treatment: A systematic state-of-the-art review.

Hospitalization is a stressful experience for children. Socially assistive robots (SARs), designed t...

Placental CD4 T cells isolated from preeclamptic women cause preeclampsia-like symptoms in pregnant nude-athymic rats.

Preeclampsia (PE), new onset hypertension during pregnancy, is associated with a proinflammatory pro...

[The body, art and the machines].

A neural network based model effectively predicts enhancers from clinical ATAC-seq samples.

Enhancers are cis-acting sequences that regulate transcription rates of their target genes in a cell...

State of the Art: Machine Learning Applications in Glioma Imaging.

OBJECTIVE: Machine learning has recently gained considerable attention because of promising results ...

A predictive model for high/low risk group according to oncotype DX recurrence score using machine learning.

BACKGROUND: Oncotype DX(ODX) is a 21-gene breast cancer recurrence score(RS) assay that aids in deci...

Dual vigilance fuzzy adaptive resonance theory.

Clusters retrieved by generic Adaptive Resonance Theory (ART) networks are limited to their internal...

Transforming Diabetes Care Through Artificial Intelligence: The Future Is Here.

An estimated 425 million people globally have diabetes, accounting for 12% of the world's health exp...

Deep learning nuclei detection: A simple approach can deliver state-of-the-art results.

BACKGROUND: Deep convolutional neural networks have become a widespread tool for the detection of nu...

Comparison of multi-linear regression, particle swarm optimization artificial neural networks and genetic programming in the development of mini-tablets.

In the present study, the preparation of pharmaceutical mini-tablets was attempted in the framework ...

Deep learning with cinematic rendering: fine-tuning deep neural networks using photorealistic medical images.

Deep learning has emerged as a powerful artificial intelligence tool to interpret medical images for...

Updated NACI recommendations for measles post-exposure prophylaxis.

BACKGROUND: Human immune globulin (Ig) products are currently recommended as post-exposure prophylax...

Effect of deglutition aids on the inhibitory effect of orally disintegrating tablets of voglibose on the postprandial elevation of blood glucose levels: a case investigating the interaction between xanthan gum and voglibose.

In this study, we first performed a disintegration test of the voglibose orally disintegrating (V-OD...

Regularized aggregation of statistical parametric maps.

Combining statistical parametric maps (SPM) from individual subjects is the goal in some types of gr...

A comparative study of logistic regression based machine learning techniques for prediction of early virological suppression in antiretroviral initiating HIV patients.

BACKGROUND: Treatment with effective antiretroviral therapy (ART) lowers morbidity and mortality amo...

Kyasanur Forest Disease Classification Framework Using Novel Extremal Optimization Tuned Neural Network in Fog Computing Environment.

Kyasanur Forest Disease (KFD) is a life-threatening tick-borne viral infectious disease endemic to S...

Advancing the State of the Art in Clinical Natural Language Processing through Shared Tasks.

OBJECTIVES:  To review the latest scientific challenges organized in clinical Natural Language Proce...

Handwritten Bangla Character Recognition Using the State-of-the-Art Deep Convolutional Neural Networks.

In spite of advances in object recognition technology, handwritten Bangla character recognition (HBC...