Latest AI and machine learning research in covid-19 for healthcare professionals.
Whole-genome sequencing resolves many clinical cases where standard diagnostic methods have failed. ...
PURPOSE: Over the last 2 years, the artificial intelligence (AI) community has presented several aut...
Corticosteroid has been proved to be one of the few effective treatments for COVID-19 patients. Howe...
Prediction errors (PEs) are a keystone for computational neuroscience. Their association with midbra...
Identification of cognate interactions between antigen-specific T cells and dendritic cells (DCs) is...
Mental disorders present a global health concern, while the diagnosis of mental disorders can be cha...
Generating functional protein variants with novel or improved characteristics has been a goal of the...
. The new coronavirus disease (known as COVID-19) was first identified in Wuhan and quickly spread w...
This paper puts forward a new method of landscape recognition and evaluation by using aerial video a...
Coronavirus Disease 2019 (COVID-19) is extremely infectious and rapidly spreading around the globe. ...
The accurate and speedy detection of COVID-19 is essential to avert the fast propagation of the viru...
OBJECTIVE: To prospectively evaluate a logistic regression-based machine learning (ML) prognostic al...
With the technological advancements of the modern era, the easy availability of image editing tools ...
COVID-19 was responsible for devastating social, economic, and political effects all over the world....
BACKGROUND: A variety of biomarkers have been developed to monitor growth of cancerous diseases and ...
The coronavirus outbreak continues to spread around the world and no one knows when it will stop. Th...
Digital technology has been used in the field of diagnostic breast pathology and immunohistochemistr...
Non-coding genomic variants constitute the majority of trait-associated genome variations; however, ...
OBJECTIVES: Delta check (DC) is widely used for detecting sample mix-up. Owing to the inadequate err...
The efforts made to prevent the spread of COVID-19 face specific challenges in diagnosing COVID-19 p...
This study is aimed at evaluating a deep transfer learning-based model for identifying diabetic reti...