Infectious Disease

HIV/AIDS

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

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EEG-based mild depression recognition using convolutional neural network.

Electroencephalography (EEG)-based studies focus on depression recognition using data mining methods...

Artificial Intelligence for the Otolaryngologist: A State of the Art Review.

OBJECTIVE: To provide a state of the art review of artificial intelligence (AI), including its subfi...

Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy.

In recent years, endomicroscopy has become increasingly used for diagnostic purposes and interventio...

Enhanced Anti-tumor of Pep-1 Modified Superparamagnetic Iron Oxide/PTX Loaded Polymer Nanoparticles.

Superparamagnetic iron-oxide nanoparticle (SPION) has gained tremendous attention for drug delivery ...

Automated diagnosis of HIV-associated neurocognitive disorders using large-scale Granger causality analysis of resting-state functional MRI.

HIV-associated neurocognitive disorders (HAND) represent an important source of neurologic complicat...

A Combined Ultrafiltration/Diafiltration Step Facilitates the Purification of Cyanovirin-N From Transgenic Tobacco Extracts.

The production of biopharmaceutical proteins in plants offers many advantages over traditional expre...

Real-time crash prediction models: State-of-the-art, design pathways and ubiquitous requirements.

Proactive traffic safety management systems can monitor traffic conditions in real-time, identify th...

funbarRF: DNA barcode-based fungal species prediction using multiclass Random Forest supervised learning model.

BACKGROUND: Identification of unknown fungal species aids to the conservation of fungal diversity. A...

State-of-the-art review on deep learning in medical imaging.

Deep learning (DL) is affecting each and every sphere of public and private lives and becoming a too...

Sensitive electrochemical detection of gp120 based on the combination of NBD-556 and gp120.

As is known, the employment of molecular imprinting polymer (MIP) as specific sensing materials in s...

Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI.

Deep learning is a branch of artificial intelligence where networks of simple interconnected units a...

HIV is associated with endothelial activation despite ART, in a sub-Saharan African setting.

OBJECTIVE: To study the relationship between endothelial dysfunction, HIV infection, and stroke in M...

Acute Retroviral Syndrome Presenting as Acute Hepatitis.

Acute retroviral syndrome (ARS) can present as a wide array of clinical manifestations. Establishing...

On medical application of neural networks trained with various types of data.

Neural networks have garnered attention over the past few years. A neural network is a typical model...

Validation of the Behavior of a Knowledge Base Implementing Clinical Guidelines for Point-of-Care Antiretroviral Toxicity Monitoring.

This study investigated the automated detection of antiretroviral toxicities in structured electroni...

The feasibility of fingerstick blood collection for point-of-care HIV-1 viral load monitoring in rural Zambia.

Viral load monitoring for HIV treatment is recommended but not feasible in many settings. A point-of...

Machine learning in critical care: state-of-the-art and a sepsis case study.

BACKGROUND: Like other scientific fields, such as cosmology, high-energy physics, or even the life s...

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning.

We describe here a protocol for the label-free identification of lymphocyte subtypes using quantitat...

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