Rheumatology

Latest AI and machine learning research in rheumatology for healthcare professionals.

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Action mechanism of anti-wrinkle effect of methanol extract in human dermal fibroblast and keratinocyte cell lines.

is a deciduous broad-leaf bush and endemic species widely found in Korea. Recently, we reported tha...

Interaction of apigenin-7-O-glucoside with pyrimethamine against growth.

Apigenin-7-O-glucoside, a flavonoid glucoside known to inhibit cancer cell growth, fungi growth, bot...

A Low-Cost Nanomaterial-based Electrochemical Immunosensor on Paper for High-Sensitivity Early Detection of Pancreatic Cancer.

Due to the lack of specific early detection methods for pancreatic cancer, it usually goes undetecte...

Finite-time and fixed-time anti-synchronization of Markovian neural networks with stochastic disturbances via switching control.

This paper proposes a unified theoretical framework to study the problem of finite/fixed-time drive-...

In vitro and in vivo analysis of the anti-plasmodial activity of ethanol extract of W. Bull leaf.

Antimalarial agents are necessary tools in the global malaria eradication agenda and plants used tra...

Comparing convolutional neural networks and preprocessing techniques for HEp-2 cell classification in immunofluorescence images.

Autoimmune diseases are the third highest cause of mortality in the world, and the identification of...

Prediction of visual outcomes by an artificial neural network following intravitreal injection and laser therapy for retinopathy of prematurity.

AIMS: To construct a program to predict the visual acuity (VA), best corrected VA (BCVA) and spheric...

Exploring fragment-based target-specific ranking protocol with machine learning on cathepsin S.

Cathepsin S (CatS), a member of cysteine cathepsin proteases, has been well studied due to its signi...

Volumetry of Mesiotemporal Structures Reflects Serostatus in Patients with Limbic Encephalitis.

BACKGROUND AND PURPOSE: Limbic encephalitis is an autoimmune disease. A variety of autoantibodies ha...

An agent-based lattice model for the emergence of anti-microbial resistance.

This work introduces a new probabilistic agent-based lattice model for studying the emergence of ant...

Ultrasensitive Anti-Interference Voice Recognition by Bio-Inspired Skin-Attachable Self-Cleaning Acoustic Sensors.

Human voice recognition systems (VRSs) are a prerequisite for voice-controlled human-machine interfa...

White blood cells detection and classification based on regional convolutional neural networks.

White blood cells (WBC) are important parts of our immune system and they protect our body against i...

Machine Learning to Predict Anti-Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic Markers.

OBJECTIVE: Accurate prediction of treatment responses in rheumatoid arthritis (RA) patients can prov...

[Chances of Artificial Intelligence and Big Data for the Diagnosis and Treatment of Age-related Macular Degeneration].

Age-related macular degeneration (AMD) is the leading cause of blindness in the western world. Intra...

Antioxidant, Anti-Melanogenic and Anti-Wrinkle Effects of .

In this study, the antioxidant, anti-xanthine oxidase, anti-melanogenic and anti-wrinkle effects of ...

Rapid multiplex microfiber-based immunoassay for anti-MERS-CoV antibody detection.

On-site multiplex biosensors for innate immunity antibodies are ideal tools for monitoring health st...

Sepsis in Latent Autoimmune Diabetes in Adults with Diabetic Ketoacidosis: A Case Report.

BACKGROUND: This case report intends to highlight the challenge in diagnosing type 1 diabetes on an ...

The complement system in liver diseases: Evidence-based approach and therapeutic options.

Complement is usually seen to largely originate from the liver to accomplish its tasks systemically ...

Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation.

Machine learning-based imaging diagnostics has recently reached or even surpassed the level of clini...

Novel small molecule retrograde transport blocker confers post-exposure protection against ricin intoxication.

Ricin is a highly toxic type 2 ribosome-inactivating protein (RIP) which is extracted from the seeds...

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