Infectious Disease

HIV/AIDS

Latest AI and machine learning research in hiv/aids for healthcare professionals.

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Showing 1051-1071 of 3,317 articles
A genotypic method for determining HIV-2 coreceptor usage enables epidemiological studies and clinical decision support.

BACKGROUND: CCR5-coreceptor antagonists can be used for treating HIV-2 infected individuals. Before ...

Prospective Study to Assess Progression of Renal Markers after Interruption of Tenofovir due to Nephrotoxicity.

. Prospective studies about the reversibility of tenofovir disoproxil fumarate- (TDF-) related renal...

HIV-Associated Facial Lipodystrophy: Experience of a Tertiary Referral Center With Fat and Dermis-Fat Compound Graft Transfer.

HIV-associated lipodystrophy is a common comorbidity in HIV-infected patients, having a profound im...

Combining transcription factor binding affinities with open-chromatin data for accurate gene expression prediction.

The binding and contribution of transcription factors (TF) to cell specific gene expression is often...

Multi-atlas and unsupervised learning approach to perirectal space segmentation in CT images.

Perirectal space segmentation in computed tomography images aids in quantifying radiation dose recei...

Wheelchair Navigation System for Disabled and Elderly People.

An intelligent wheelchair (IW) system is developed in order to support safe mobility for disabled or...

Malaria Parasitemia and Parasite Density in Antiretroviral-Treated HIV-Infected Adults Following Discontinuation of Cotrimoxazole Prophylaxis.

BACKGROUND:  Cotrimoxazole (CTX) discontinuation increases malaria incidence in human immunodeficien...

Human-like compliant locomotion: state of the art of robotic implementations.

This review paper provides a synthetic yet critical overview of the key biomechanical principles of ...

Breast cancer-associated high-order SNP-SNP interaction of CXCL12/CXCR4-related genes by an improved multifactor dimensionality reduction (MDR-ER).

In association studies, the combined effects of single nucleotide polymorphism (SNP)-SNP interaction...

Big Data and machine learning in radiation oncology: State of the art and future prospects.

Precision medicine relies on an increasing amount of heterogeneous data. Advances in radiation oncol...

Toward High-Throughput Predictive Modeling of Protein Binding/Unbinding Kinetics.

One of the unaddressed challenges in drug discovery is that drug potency determined in vitro is not ...

Bilateral robots for upper-limb stroke rehabilitation: State of the art and future prospects.

Robot-assisted bilateral upper-limb training grows abundantly for stroke rehabilitation in recent ye...

Metastatic liver tumour segmentation with a neural network-guided 3D deformable model.

The segmentation of liver tumours in CT images is useful for the diagnosis and treatment of liver ca...

Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition.

This paper proposes a hierarchical clustering multi-task learning (HC-MTL) method for joint human ac...

A Q-backpropagated time delay neural network for diagnosing severity of gait disturbances in Parkinson's disease.

Parkinson's disease (PD) is a movement disorder that affects the patient's nervous system and health...

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