Latest AI and machine learning research in copd for healthcare professionals.
To address substantial heterogeneity in patient response to treatment of chronic disorders and achie...
There is growing interest in the potential of artificial intelligence to support decision-making in ...
Rapid diagnostic technologies for bovine mastitis caused by () are urgently needed. In the current ...
Computer vision systems have numerous tools to assist in various medical fields, notably in image di...
Segmentation and quantification of each subtype of emphysema is helpful to monitor chronic obstructi...
COPD is a heterogeneous syndrome. Many COPD subtypes have been proposed, but there is not yet consen...
Machine learning has become ubiquitous and a key technology on mining electronic health records (EHR...
The present study aimed to explore the anticancer potentials of the gold nanoparticles (NPs) obtaine...
Catecholamine neurotransmitters, specifically, dopamine (DA), epinephrine (EP), and norepinephrine (...
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a progressive lung disease that is class...
OBJECTIVES: Various scolicidal agents are applied for the destruction of protoscolices in cysts medi...
The accurate identification and prediction of high-cost Chronic obstructive pulmonary disease (COPD)...
While machine learning approaches can enhance prediction ability, little is known about their abilit...
The aim of this study was to identify a combination of early predictive symptoms/sensations attribut...
The inhalation of particulate matter (PM) is a significant health risk associated with reduced life ...
Background Fixed airflow limitation and ventilation heterogeneity are common in chronic obstructive ...
INTRODUCTION: Among individuals with severe asthma, FEV is low in individuals with low dehydroepiand...
As ovarian toxicity is often a safety concern for cancer therapeutics, identification of ovarian pat...
BACKGROUND: Prediction of future lung function will enable the identification of individuals at high...
This paper describes the process of adapting the Stanford Coreference resolution module to the Basqu...
Volumetric imaging is an essential diagnostic tool for medical practitioners. The use of popular tec...