Latest AI and machine learning research in covid-19 for healthcare professionals.
Investigating the interaction between influent particles and biomass is basic and important for the ...
BACKGROUND: Uttar Pradesh (UP), the most populous state in India, has about 36 million people aged 5...
The promise of artificial intelligence has generated enthusiasm among patients, health care professi...
OBJECTIVE: Delta bilirubin (albumin-covalently bound bilirubin) may provide important clinical utili...
Recently, Vision Transformer and its variants have demonstrated remarkable performance on various co...
Artificial intelligence (AI) has profoundly advanced the field of biomedical research, which also de...
Artificial neural networks (ANNs) are versatile tools capable of learning without prior knowledge. T...
Indirect methods for reference interval (RI) estimation, which use data acquired from routine pathol...
Idiopathic orbital inflammation, formerly known as NSOI (nonspecific orbital inflammation), is chara...
Predicting epidemic evolution is essential for making informed decisions and guiding the implementat...
Point-of-Care-Testing (PoCT) has emerged as an essential component of modern healthcare, providing r...
The functionality of activated sludge in wastewater treatment processes depends largely on the struc...
Fluorescence intravital microscopy captures large data sets of dynamic multicellular interactions wi...
Optical continuous glucose monitoring (CGM) systems are emerging for personalized glucose management...
Domain Generalization (DG) focuses on the Out-Of-Distribution (OOD) generalization, which is able to...
Seneca Valley virus (SVV) and foot-and-mouth disease virus (FMDV) belong to the Picornaviridae famil...
In the context of early disease detection, machine learning (ML) has emerged as a vital tool. Featur...
Dictionary learning is an important sparse representation algorithm which has been widely used in ma...
The ESKAPE family, comprising Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Ac...
In this paper, a CNN-MLP model (CMM) is proposed for COVID-19 lesion segmentation and severity gradi...
PURPOSE: To determine the factors influencing the likelihood of biochemical pregnancy loss (BPL) aft...