Fabio Cacciapaglia

Unsupervised machine learning with Cluster Analysis in patients with rheumatoid arthritis: insights in CV risk phenotypes from a multicentre Italian cohort

Abstract Rheumatoid arthritis (RA) patients face increased cardiovascular (CV) risk, yet existing 10-year estimation tools often underperform. This study evaluated whether unsupervised machine learning (uML) clustering can identify distinct RA patient phenotypes with varying majo...

Cancer in systemic sclerosis: clinical associations and prognostic impact from the EUSTAR registry

BACKGROUND: Cancer represents a major cause of mortality in systemic sclerosis (SSc). Established risk factors are limited to specific subsets, particularly early diffuse anti-RNA polymerase III (POLR3)-positive disease, needing further exploration. METHODS: We performed a nested...