Latest AI and machine learning research in covid-19 for healthcare professionals.
The present study aimed to assess spp. infection in 17 captive black-faced black spider monkeys (),...
BACKGROUND AND OBJECTIVE: This study delves into the parenting cognition perspectives on COVID-19 in...
OBJECTIVE: We compared the protein structure and pathogenicity of clinically relevant variants of th...
This study develops an Artificial Neural Network (ANN)-based framework to model the transmission dyn...
This study evaluated the performance of a deep-learning-based model that predicted cooking loss in t...
Generative artificial intelligence (AI) models trained on natural protein sequences have been used t...
Due to the lack of efficient mpox diagnostic technology, mpox cases continue to increase. Recently, ...
PURPOSE: To create a system to enable the identification of histological variants of bladder cancer ...
In early-stage development of therapeutic monoclonal antibodies, assessment of the viability and eas...
Artificial intelligence (AI) is rapidly advancing our ability to identify and interpret genetic vari...
To create a diagnostic tool before biopsy for patients with prostate-specific antigen (PSA) levels <...
Artificially designed, functional nanostructured surfaces, called metasurfaces, are an emerging plat...
Immunoprecipitation coupled to tandem mass spectrometry (IP-MS/MS) methods are often used to identif...
In the COVID-19 pandemic, a rigorous testing scheme was crucial. However, tests can be time-consumin...
Current evidence is inconsistent on whether vitamin D supplementation can prevent COVID-19 infection...
Socially assistive robots (SARs) are increasingly recognized for their potential in helping older ad...
Digital image watermarking is a prevalent method for image copyright protection. As watermark embedd...
OBJECTIVES: Spingosine-1-phosphate (S1P) and ceramides are bioactive sphingolipids that influence ca...
Hand-held robotic instruments enhance precision in microsurgery by mitigating physiological tremor i...
Social networks are increasingly taking over daily life, creating a volume of unsecured data and mak...
PURPOSE: Thyroid nodules are common, and ultrasound-based risk stratification using ACR's TIRADS cla...