Latest AI and machine learning research in covid-19 for healthcare professionals.
Saudi Arabia plays an important strategic role within the Middle East and afar because of its geogra...
RATIONALE AND OBJECTIVE: To perform a meta-analysis to compare the diagnostic test accuracy (DTA) of...
This paper presents an overview of some key results from a body of optimization studies that are spe...
Rare diseases affect millions of people worldwide, and discovering their genetic causes is challengi...
Federated learning (FL) is a method used for training artificial intelligence models with data from ...
BACKGROUND AND AIM: The impact of chronic hepatitis B virus (HBV) infection and nucleos(t)ide analog...
Particle agglutination assays are widely adopted immunological tests that are based on antigen-antib...
Microorganisms cause variety of diseases that constitutes a severe threat to mankind. Due to the ups...
Accurate assessment of mitral regurgitation (MR) severity is critical in clinical diagnosis and trea...
To monitor groundwater salinization due to seawater intrusion (SWI) in the aquifer of the eastern Ni...
Serological diagnosis of active tuberculosis (TB) is enhanced by detection of multiple antibodies du...
We propose a classification method using the radiomics features of CT chest images to identify patie...
Relatively abundant availability of medical imaging data has provided significant support in the dev...
Regulatory elements control gene expression through transcription initiation (promoters) and by enha...
Long-read sequencing enables variant detection in genomic regions that are considered difficult-to-m...
The COVID-19 global pandemic has wreaked havoc on every aspect of our lives. More specifically, heal...
Tissue phase mapping (TPM) is an MRI technique for quantification of regional biventricular myocardi...
Entity relation extraction plays an important role in the biomedical, healthcare, and clinical resea...
Being one of the most prevalent neurological disorders, epilepsy affects the lives of patients throu...
Despite recent advances in the development of machine learning potentials (MLPs) for biomolecular si...
Medical imaging technologies, including computed tomography (CT) or chest X-Ray (CXR), are largely e...