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Rheumatic Diseases

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The association between clinically suspect arthralgia and adipokines in obese patients.

Acta reumatologica portuguesa
OBJECTIVE: Obesity is a moderate low-grade chronic inflammatory condition. The cause of low-grade inflammation in obese patients who have clinically suspect arthralgia (CSA) may be the subject of debate in clinical practice. Our aim is to determine w...

Ontology-based systematic representation and analysis of traditional Chinese drugs against rheumatism.

BMC systems biology
BACKGROUND: Rheumatism represents any disease condition marked with inflammation and pain in the joints, muscles, or connective tissues. Many traditional Chinese drugs have been used for a long time to treat rheumatism. However, a comprehensive infor...

Application of machine learning in rheumatic disease research.

The Korean journal of internal medicine
Over the past decade, there has been a paradigm shift in how clinical data are collected, processed and utilized. Machine learning and artificial intelligence, fueled by breakthroughs in high-performance computing, data availability and algorithmic i...

Emerging role of eHealth in the identification of very early inflammatory rheumatic diseases.

Best practice & research. Clinical rheumatology
Digital health or eHealth technologies, notably pervasive computing, robotics, big-data, wearable devices, machine learning, and artificial intelligence (AI), have opened unprecedented opportunities as to how the diseases are diagnosed and managed wi...

New criteria and new methodological tools for devising criteria sets of inflammatory rheumatic diseases.

Clinical and experimental rheumatology
Rheumatologists use classification criteria to separate patients with inflammatory rheumatic diseases (IRD). They change over time, and the concepts of the diseases also change. The paradigm is currently moving as the goal of classification in the fu...

Digital health technologies: opportunities and challenges in rheumatology.

Nature reviews. Rheumatology
The past decade in rheumatology has seen tremendous innovation in digital health technologies, including the electronic health record, virtual visits, mobile health, wearable technology, digital therapeutics, artificial intelligence and machine learn...

Machine Learning in Rheumatic Diseases.

Clinical reviews in allergy & immunology
With advances in information technology, the demand for using data science to enhance healthcare and disease management is rapidly increasing. Among these technologies, machine learning (ML) has become ubiquitous and indispensable for solving complex...

Harnessing of real-world data and real-world evidence using digital tools: utility and potential models in rheumatology practice.

Rheumatology (Oxford, England)
The diversity of diseases in rheumatology and variability in disease prevalence necessitates greater data parity in disease presentation, treatment responses including adverse events to drugs and various comorbidities. Randomized controlled trials ar...