Stanford inventors have developed a novel diagnostic tool that identifies distinct immune signatures in the peripheral blood of osteoarthritis patients using mass cytometry (CyTOF) and applied machine learning.
Stanford researchers have identified a biomarker on cartilage precursor cells that can predict which cells will develop into inflammation-resistant and functionally appropriate tissue for autologous transplants to treat osteoarthritis.