AI-powered, big data research enhances understanding of systemic vasculitis

Researchers from the School of Medicine and the ADAPT Centre at the School of Computer Science and Statistics at Trinity College Dublin have made a significant breakthrough in vasculitis research, in collaboration with researchers in Lund University. Their findings, recently published in The Lancet Rheumatology, offer new insights into the diagnosis and treatment of systemic vasculitis, a group of rare and complex autoimmune diseases. The study, part of the FAIRVASC project, leverages advanced artificial intelligence (AI) and big data techniques to address critical challenges in diagnosing and treating systemic vasculitis. FAIRVASC connects vasculitis patient registries across Europe, enabling seamless data Read More