Latest AI and machine learning research in rheumatoid arthritis for healthcare professionals.
Due to its extensive arsenal of virulence factors and inherent resistance to antibiotics, is a threat particularly in immunocompromised patients. Considering the central role of quorum sensing in the production of virulence factors, inhibition of bacterial communication mechanism constitute an opportunity to attenuate pathogenicity of bacteria resistant to available antibiotics. Our study aimed ...
CLEFMA, 4-(3,5-bis(2-chlorobenzylidene)-4-oxo-piperidine-1-yl)-4-oxo-2-butenoic acid, is a new chemical entity with anti-cancer and anti-inflammatory activities. Here, we report its stability in solution against stress conditions of exposure to acid/base, light, oxidant, high temperature, and plasma. The identity of the degradation products was ascertained by mass and proton nuclear magnetic reson...
This paper presents a state-of-the-art application of fractional hopfield neural networks (FHNNs) to defend against chip cloning attacks, and provides...
For quality control of herbal medicines or functional foods, integral activity evaluation has become more popular in recent studies. The majority of r...
Hypericum androsaemum L. ethanol:water extract acted as a lipid peroxidation inhibitor and free radical scavenger. A marked inhibition of the growth o...
This study investigated biological activities including antioxidative stress, anti-inflammation, and anti-insulin resistance of aqueous extract (ABE)...
BACKGROUND: is a member of the Arecaceae family and a common plant in the Southeast Asian region. This plant has been reported as an anti-microbial a...
Hydro-distilled essential oil (EO) from the leaves of the western Mediterranean and Moroccan endemic plant was analyzed by GC/MS and examined for its...
A predictive model of a virgin coconut oil (VCO) nanoemulsion system for the topical delivery of copper peptide (an anti-aging compound) was developed...
The formation and accumulation of advanced glycation end-products (AGEs) are implicated in several chronic human illnesses including type-2 diabetes,...
This paper investigates the problem of global exponential anti-synchronization of a class of switched neural networks with time-varying delays and lag...
Decision-making is a flexible process dependent on the accumulation of various kinds of information; however, the corresponding neural mechanisms are ...
Thyroglobulin autoantibodies (TgAb) are estimated to detect potential interferences in thyroglobulin (Tg) immunoassays and also for the diagnosis of a...
Identifying the molecular targets for the beneficial effects of active small-molecule compounds simultaneously is an important and currently unmet cha...
Mushrooms have been highly regarded as possessing enormous nutritive and medicinal values. In the present study, we evaluated the anti-oxidative and a...
In this brief, the problem of composite anti-disturbance tracking control for a class of strict-feedback systems with unmatched unknown nonlinear func...
OBJECTIVE: The aim of the current study was to determine the predictive value of anti-Müllerian hormone (AMH) levels for pregnancy outcomes in patient...
A stable label-free amperometric immunosensor is presented based on gold nanoparticles and graphene oxide nanocomposites for detection of cardiac trop...
Hericium erinaceus (HE) is an edible mushroom that has been shown to exhibit anticancer and anti-inflammatory activities. We investigated the antiangi...
A novel strategy for ovotransferrin (OVT) detection by tracing the "on-off-on" fluorescence signals of quantum dots (QDs) and gold nanoparticles (AuNP...