Infectious Disease

HIV/AIDS

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

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Immunopeptidomic Data Integration to Artificial Neural Networks Enhances Protein-Drug Immunogenicity Prediction.

Recombinant DNA technology has, in the last decades, contributed to a vast expansion of the use of p...

A Novel Method to Identify Pneumonia through Analyzing Chest Radiographs Employing a Multichannel Convolutional Neural Network.

Pneumonia is a virulent disease that causes the death of millions of people around the world. Every ...

Internet of things-inspired healthcare system for urine-based diabetes prediction.

Healthcare industry is the leading domain that has been revolutionized by the incorporation of Inter...

Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis: State of the art.

Screening for breast cancer with mammography has been introduced in various countries over the last ...

Artificial Intelligence Applications in Otology: A State of the Art Review.

OBJECTIVE: Recent advances in artificial intelligence (AI) are driving innovative new health care so...

Efficient GAN-based Chest Radiographs (CXR) augmentation to diagnose coronavirus disease pneumonia.

: As 2019 ends coronavirus disease start expanding all over the world. It is highly transmissible di...

COVID-19: The role of artificial intelligence in empowering the healthcare sector and enhancing social distancing measures during a pandemic.

Indiscriminatory in its spread, COVID-19 has engulfed communities from all social backgrounds throug...

Drug Resistance Prediction Using Deep Learning Techniques on HIV-1 Sequence Data.

The fast replication rate and lack of repair mechanisms of human immunodeficiency virus (HIV) contri...

Machine learning to quantify habitual physical activity in children with cerebral palsy.

AIM: To investigate whether activity-monitors and machine learning models could provide accurate inf...

An Application of Random Walk Resampling to Phylogenetic HMM Inference and Learning.

Statistical resampling methods are widely used for confidence interval placement and as a data pertu...

Artificial Intelligence in radiotherapy: state of the art and future directions.

Recent advances in computing capability allowed the development of sophisticated predictive models t...

Determination of terazosin in the presence of prazosin: Different state-of-the-art machine learning algorithms with UV spectroscopy.

Counterfeit drugs have adverse effects on public health; chromatographic methods can be used but the...

Biohorology and biomarkers of aging: Current state-of-the-art, challenges and opportunities.

The aging process results in multiple traceable footprints, which can be quantified and used to esti...

Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks.

In this study, a dataset of X-ray images from patients with common bacterial pneumonia, confirmed Co...

Automatic detection of tympanic membrane and middle ear infection from oto-endoscopic images via convolutional neural networks.

Convolutional neural networks (CNNs), a popular type of deep neural network, have been actively appl...

Environmental Noise Classification Using Convolutional Neural Networks with Input Transform for Hearing Aids.

Hearing aids are essential for people with hearing loss, and noise estimation and classification are...

Automatic optic nerve head localization and cup-to-disc ratio detection using state-of-the-art deep-learning architectures.

Computer vision has greatly advanced recently. Since AlexNet was first introduced, many modified dee...

Applications of artificial intelligence in multimodality cardiovascular imaging: A state-of-the-art review.

There has been a tidal wave of recent interest in artificial intelligence (AI), machine learning and...

PACC: Large scale connected component computation on Hadoop and Spark.

A connected component in a graph is a set of nodes linked to each other by paths. The problem of fin...

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