The paradigm of personalised medicine has ushered in a potentially endless stream of new variables that can predict outcomes and response to treatments – far more than any doctor could hope to manage on his own.
While high quality multidisciplinary working among specialists is essential, it is not enough. New tools and approaches are needed that help oncologists integrate new technologies, all the relevant knowledge and information to guide their decisions.
Knowledge-Based Oncology (KBO) is a new paradigm that aims to offer a decision model from heterogenous data - clinical, biologic, imaging treatment, demographic - to predict outcome, and can offer a more transparent and reproducible decision system.
KBO-Labs are an essential opportunity in the perspective of Knowledge-Based Oncology to apply the integrated knowledge to individual patients as a whole.