Over the past decades our understanding of rheumatoid arthritis (RA) pathogenesis has improved remarkably and major breakthroughs in the treatment of RA were made with the advent of numerous targeted therapies and new treatment strategies. Despite these advances, several unmet needs remain, namely in achieving earlier and more accurate diagnosis, monitoring disease activity, predicting disease prognosis and optimizing treatment. To address these gaps, recent research has focused on identifying biomarkers that may enhance diagnostic precision, predict disease prognosis, and optimize treatment strategies. In this narrative review we will describe recent developments in RA biomarkers with demonstrated or promising clinical relevance.