The immunopathogenesis of rheumatoid arthritis (RA) spans decades, beginning with the
production of autoantibodies against post-translationally modified proteins (checkpoint 1) …

There are many research studies and emerging tools using artificial intelligence (AI) and
machine learning to augment flow and mass cytometry workflows. Emerging AI tools can …

Background With the expanding applications of mass cytometry in medical research, a wide
variety of clustering methods, both semi-supervised and unsupervised, have been …

Recently emerged mass cytometry (cytometry by time‐of‐flight [CyTOF]) technology permits
the identification and quantification of inherently diverse cellular systems, and the …

Although previous RNA sequencing methods have been widely used in orthopedic research
and have provided ideas for therapeutic strategies, the specific mechanisms of some …

The importance of quantifying the distribution and determinants of multimorbidity has
prompted novel data-driven classifications of disease. Applications have included improved …

Rheumatoid arthritis (RA) is a chronic autoimmune disorder that can give rise to joint
swelling and inflammation, potentially affecting the entire body, closely linked to the state of …

Rheumatoid arthritis (RA) is a chronic, systemic, inflammatory autoimmune disease that
affects about 1% of the global population, with a female–male ratio of 3: 1. RA preferably …

Introduction Systemic autoimmune diseases (SADs) are a significant burden on the
healthcare system. Understanding the complexity of the peripheral immunophenotype in …

Rheumatoid arthritis (RA) is a common autoimmune disease characterized by chronic and
progressive inflammation of the synovium. Focused ultrasound therapy is an increasingly …