Rheumatology

Rheumatoid Arthritis

Latest AI and machine learning research in rheumatoid arthritis for healthcare professionals.

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Showing 715-735 of 3,159 articles
Prediction of anti-cancer drug response by kernelized multi-task learning.

MOTIVATION: Chemotherapy or targeted therapy are two of the main treatment options for many types of...

Defense Against Chip Cloning Attacks Based on Fractional Hopfield Neural Networks.

This paper presents a state-of-the-art application of fractional hopfield neural networks (FHNNs) to...

A rapid integrated bioactivity evaluation system based on near-infrared spectroscopy for quality control of Flos Chrysanthemi.

For quality control of herbal medicines or functional foods, integral activity evaluation has become...

Bioactive properties and functional constituents of Hypericum androsaemum L.: A focus on the phenolic profile.

Hypericum androsaemum L. ethanol:water extract acted as a lipid peroxidation inhibitor and free radi...

Anti-inflammatory and anti-insulin resistance activities of aqueous extract from .

This study investigated biological activities including antioxidative stress, anti-inflammation, and...

In Vitro Anti-Oxidant and Anti-Microbial Potentiality Investigation of Different Fractions of Caryota urens Leaves.

BACKGROUND: is a member of the Arecaceae family and a common plant in the Southeast Asian region. T...

Chemical composition, acute toxicity, antioxidant and anti-inflammatory activities of Moroccan L.

Hydro-distilled essential oil (EO) from the leaves of the western Mediterranean and Moroccan endemic...

Effect of cranberry () oligosaccharides on the formation of advanced glycation end-products.

The formation and accumulation of advanced glycation end-products (AGEs) are implicated in several ...

New results on anti-synchronization of switched neural networks with time-varying delays and lag signals.

This paper investigates the problem of global exponential anti-synchronization of a class of switche...

A neural model of the frontal eye fields with reward-based learning.

Decision-making is a flexible process dependent on the accumulation of various kinds of information;...

In-House Solid-Phase Radioassay for the Detection of Anti-thyroglobulin Autoantibodies in Patients with Differentiated Thyroid Cancer.

Thyroglobulin autoantibodies (TgAb) are estimated to detect potential interferences in thyroglobulin...

Drug target identification using network analysis: Taking active components in Sini decoction as an example.

Identifying the molecular targets for the beneficial effects of active small-molecule compounds simu...

(shiitake mushroom): An assessment of anti-atherosclerotic bio-functionality.

Mushrooms have been highly regarded as possessing enormous nutritive and medicinal values. In the pr...

Neural Network-Based DOBC for a Class of Nonlinear Systems With Unmatched Disturbances.

In this brief, the problem of composite anti-disturbance tracking control for a class of strict-feed...

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