The cytokines, main players of the chronic inflammation progression leading to serious diseases such as diabetes or cancer, represent a target for better clinical prognosis and innovative therapeutic strategies. To investigate the immunopathogenetic progression of these diseases, the evaluation of serum cytokines profiles made of many different proteins is much more informative than single protein measurements. We developed a Clinical Data Mining Software to collect cytokine profiles evaluated on healthy subjects and patients by multiplex immunoassays also annotated with their clinical and laboratory data, to compare patient profiles by statistical tools and to evaluate their disease progression.
CDMS (Clinical Data Mining Software): A cytokinome data mining system for a predictive medicine of chronic inflammatory diseases
Evangelista D;
2010
Abstract
The cytokines, main players of the chronic inflammation progression leading to serious diseases such as diabetes or cancer, represent a target for better clinical prognosis and innovative therapeutic strategies. To investigate the immunopathogenetic progression of these diseases, the evaluation of serum cytokines profiles made of many different proteins is much more informative than single protein measurements. We developed a Clinical Data Mining Software to collect cytokine profiles evaluated on healthy subjects and patients by multiplex immunoassays also annotated with their clinical and laboratory data, to compare patient profiles by statistical tools and to evaluate their disease progression.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
