Rheumatology

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

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Qualitative and Artificial Intelligence-based Sentiment Analyses of Anti-LGBTI+ Hate Speech on Twitter in Turkey.

The aim of this study was to evaluate hate speech in Turkish LGBTI+-related tweets during a one-mont...

Lorcaserin and phentermine exert anti-obesity effects with modulation of the gut microbiota.

Although drugs have been reported to modulate the gut microbiota, the effects of anti-obesity drugs ...

Integrated Damage Location Diagnosis of Frame Structure Based on Convolutional Neural Network with Inception Module.

Accurate damage location diagnosis of frame structures is of great significance to the judgment of d...

Prediction of coronary heart disease in gout patients using machine learning models.

Growing evidence shows that there is an increased risk of cardiovascular diseases among gout patient...

A dense residual U-net for multiple sclerosis lesions segmentation from multi-sequence 3D MR images.

Multiple Sclerosis (MS) is an autoimmune disease that causes brain and spinal cord lesions, which ma...

The design of compounds with desirable properties - The anti-HIV case study.

Efficacy and safety are among the most desirable characteristics of an ideal drug. The tremendous in...

Position estimation using neural networks in semi-monolithic PET detectors.

. The goal of this work is to experimentally compare the 3D spatial and energy resolution of a semi-...

Scratch-AID, a deep learning-based system for automatic detection of mouse scratching behavior with high accuracy.

Mice are the most commonly used model animals for itch research and for development of anti-itch dru...

Frame Structure Fault Diagnosis Based on a High-Precision Convolution Neural Network.

Structural health monitoring and fault diagnosis are important scientific issues in mechanical engin...

GPS Spoofing Detection Method for Small UAVs Using 1D Convolution Neural Network.

The navigation of small unmanned aerial vehicles (UAVs), such as quadcopters, significantly relies o...

Reliable prediction of cannabinoid receptor 2 ligand by machine learning based on combined fingerprints.

Cannabinoid receptors, as part of the family of the G protein-coupled receptors (GPCRs), are involve...

3-Dimensional Immunostaining and Automated Deep-Learning Based Analysis of Nerve Degeneration.

Multiple sclerosis (MS) is an autoimmune and neurodegenerative disease driven by inflammation and de...

A multidomain fusion model of radiomics and deep learning to discriminate between PDAC and AIP based on F-FDG PET/CT images.

PURPOSE: To explore a multidomain fusion model of radiomics and deep learning features based on F-fl...

Compact artificial neuron based on anti-ferroelectric transistor.

Neuromorphic machines are intriguing for building energy-efficient intelligent systems, where spikin...

Current uses of artificial intelligence in the analysis of biofluid markers involved in corneal and ocular surface diseases: a systematic review.

Corneal and ocular surface diseases (OSDs) carry significant psychosocial and economic burden worldw...

Continuous Estimation of Human Joint Angles From sEMG Using a Multi-Feature Temporal Convolutional Attention-Based Network.

Intention recognition based on surface electromyography (sEMG) signals is pivotal in human-machine i...

RNADSN: Transfer-Learning 5-Methyluridine (mU) Modification on mRNAs from Common Features of tRNA.

One of the most abundant non-canonical bases widely occurring on various RNA molecules is 5-methylur...

Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disorders.

Esophageal disorders are related to the mechanical properties and function of the esophageal wall. T...

Computational model of the full-length TSH receptor.

(GPCR)The receptor for TSH receptor (TSHR), a G protein coupled receptor (GPCR), is of particular in...

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