Rheumatology

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

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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...

Sep 2019 31634822
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...

Aug 2019 32140395
Strategies to Tackle the Global Burden of Diabetic Retinopathy: From Epidemiology to Artificial Intelligence.

Diabetes is a global public health disease projected to affect 642 million adults by 2040, with abou...

Aug 2019 31408872
Machine learning approaches to predict lupus disease activity from gene expression data.

The integration of gene expression data to predict systemic lupus erythematosus (SLE) disease activi...

Jul 2019 31270349
HyperFoods: Machine intelligent mapping of cancer-beating molecules in foods.

Recent data indicate that up-to 30-40% of cancers can be prevented by dietary and lifestyle measures...

Jul 2019 31270435
A new M23-based ELISA assay for anti-aquaporin 4 autoantibodies: diagnostic accuracy and clinical correlation.

PURPOSE: Although many assays have been developed to detect anti-aquaporin-4 (AQP4) antibodies, most...

Jun 2019 32257061
Modelling disease risk for amyloid A (AA) amyloidosis in non-human primates using machine learning.

Amyloid A (AA) amyloidosis is found in humans and non-human primates, but quantifying disease risk ...

Jun 2019 31210531
Detecting mitotic cells in HEp-2 images as anomalies via one class classifier.

We propose a novel framework for classification of mitotic v/s non-mitotic cells in a Computer Aided...

Jun 2019 31326866
Quantitative Structure-Activity Relationships for Structurally Diverse Chemotypes Having Anti- Activity.

Small-molecule compounds that have promising activity against macromolecular targets from occasiona...

Jun 2019 31181717
Pre-Treatment Biomarkers of Anti-Tumour Necrosis Factor Therapy Response in Crohn's Disease-A Systematic Review and Gene Ontology Analysis.

The most prominent treatment for the serious cases of Crohn's disease (CD) are biological tumour nec...

May 2019 31141991
Preliminary study on the application of deep learning system to diagnosis of Sjögren's syndrome on CT images.

OBJECTIVES: This study estimated the diagnostic performance of a deep learning system for detection ...

May 2019 31075042
Anti-Synchronization in Fixed Time for Discontinuous Reaction-Diffusion Neural Networks With Time-Varying Coefficients and Time Delay.

This paper studies the fixed-time anti-synchronization (FTAS) of discontinuous reaction-diffusion ne...

May 2019 31095503
Machine Learning Methods to Predict Social Media Disaster Rumor Refuters.

This research provides a general methodology for distinguishing disaster-related anti-rumor spreader...

Apr 2019 31022894
Building the drug-GO function network to screen significant candidate drugs for myasthenia gravis.

Myasthenia gravis (MG) is an autoimmune disease. In recent years, considerable evidence has indicate...

Apr 2019 30947317
Acute renal failure in systemic sclerosis revealing Goodpasture syndrome: "All that glitters is not scleroderma renal crisis".

The most common cause of acute renal failure in systemic sclerosis patients is scleroderma renal cri...

Apr 2019 35382400
Quantification of apixaban in human plasma using ultra performance liquid chromatography coupled with tandem mass spectrometry.

Apixaban, an inhibitor of direct factor Xa, is used for the treatment of venous thromboembolic event...

Mar 2019 32055579
Machine learning identifies an immunological pattern associated with multiple juvenile idiopathic arthritis subtypes.

OBJECTIVES: Juvenile idiopathic arthritis (JIA) is the most common class of childhood rheumatic dise...

Mar 2019 30862608
Reinforcement learning-based control of tumor growth under anti-angiogenic therapy.

BACKGROUND AND OBJECTIVES: In recent decades, cancer has become one of the most fatal and destructiv...

Mar 2019 31046990
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