AI model identifies AAV subgroups that better predict outcomes
Using data from the largest ANCA-associated vasculitis (AAV) patient database compiled to date, researchers identified five new subgroups that predict patient outcomes better than classifying patients according to granulomatosis with polyangiitis (GPA) and microscopic polyangiitis (MPA), two AAV subtypes. The new disease clusters, identified with advanced artificial intelligence (AI)…