HIV/AIDS

Abstract art paintings, global image properties, and verbal descriptions: An empirical and computational investigation.

While global image properties (GIPs) relate to preference ratings in many categories of visual stimu...

SegAE: Unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoder.

White matter hyperintensities (WMHs) of presumed vascular origin are frequently observed in magnetic...

Object detection and recognition: using deep learning to assist the visually impaired.

BACKGROUND: Deep learning systems have improved performance of devices through more accurate object ...

White blood cells detection and classification based on regional convolutional neural networks.

White blood cells (WBC) are important parts of our immune system and they protect our body against i...

Virological Outcome Measures During Analytical Treatment Interruptions in Chronic HIV-1-Infected Patients.

BACKGROUND: Analytical treatment interruptions (ATIs) are essential in research on HIV cure. However...

The hidden information in patient-reported outcomes and clinician-assessed outcomes: multiple sclerosis as a proof of concept of a machine learning approach.

Machine learning (ML) applied to patient-reported (PROs) and clinical-assessed outcomes (CAOs) could...

CD4+ versus CD8+ T-lymphocyte identification in an integrated microfluidic chip using light scattering and machine learning.

T lymphocytes are a group of cells representing the main effectors of human adaptive immunity. Chara...

A SEMIPARAMETRIC MODELING APPROACH USING BAYESIAN ADDITIVE REGRESSION TREES WITH AN APPLICATION TO EVALUATE HETEROGENEOUS TREATMENT EFFECTS.

Bayesian Additive Regression Trees (BART) is a flexible machine learning algorithm capable of captur...

Accurate Prediction for Antibody Resistance of Clinical HIV-1 Isolates.

Broadly neutralizing antibodies (bNAbs) targeting the HIV-1 envelope glycoprotein (Env) have promisi...

Compendiums of cancer transcriptomes for machine learning applications.

There are massive transcriptome profiles in the form of microarray. The challenge is that they are p...

Response to: Comment on "Assessing Effectiveness and Costs in Robot-Mediated Lower Limbs Rehabilitation: A Meta-Analysis and State of the Art".

A survey of adaptive resonance theory neural network models for engineering applications.

This survey samples from the ever-growing family of adaptive resonance theory (ART) neural network m...

Salience-aware adaptive resonance theory for large-scale sparse data clustering.

Sparse data is known to pose challenges to cluster analysis, as the similarity between data tends to...

Identification of Vertebral Fractures by Convolutional Neural Networks to Predict Nonvertebral and Hip Fractures: A Registry-based Cohort Study of Dual X-ray Absorptiometry.

Background Detection of vertebral fractures (VFs) aids in management of osteoporosis and targeting o...

Distributed dual vigilance fuzzy adaptive resonance theory learns online, retrieves arbitrarily-shaped clusters, and mitigates order dependence.

This paper presents a novel adaptive resonance theory (ART)-based modular architecture for unsupervi...

Self-organizing neural networks for universal learning and multimodal memory encoding.

Learning and memory are two intertwined cognitive functions of the human brain. This paper shows how...

Multioutput Perturbation-Theory Machine Learning (PTML) Model of ChEMBL Data for Antiretroviral Compounds.

Retroviral infections, such as HIV, are, until now, diseases with no cure. Medicine and pharmaceutic...

Deeper Profiles and Cascaded Recurrent and Convolutional Neural Networks for state-of-the-art Protein Secondary Structure Prediction.

Protein Secondary Structure prediction has been a central topic of research in Bioinformatics for de...

Target-Specific Prediction of Ligand Affinity with Structure-Based Interaction Fingerprints.

Discovery and optimization of small molecule inhibitors as therapeutic drugs have immensely benefite...

AI in Health: State of the Art, Challenges, and Future Directions.

INTRODUCTION: Artificial intelligence (AI) technologies continue to attract interest from a broad ra...

Improving the Rate of Translation of Tissue Engineering Products.

Over 100 000 research articles and 9000 patents have been published on tissue engineering (TE) in th...