2. GIULIANO NETTO FLORES CRUZ
Information acquired: 2025
GIULIANO NETTO FLORES CRUZ is an academic who published a paper in 2023 entitled Evaluating omics-based tests with Bayesian Decision Curve Analysis. GIULIANO NETTO FLORES CRUZ published this work as part of a team: Netto Flores Cruz, Giuliano. Here is a description of this work: Omics-based tests (OBTs) combine high-dimensional omics features into clinical prediction models that predict diagnosis, prognosis, or treatment effects. Past incidences of premature implementa- tion of OBTs into clinical trials have demonstrated the need for increased rigour in their clinical evaluation. However, their performance assessment is often limited to classification metrics such as sensitivity and specificity, with little regard for formal analysis of clinical decision-making. Decision curve analysis (DCA) complements classification metrics by combining classical assessment of pre- dictive performance with the consequences of using a test or model to guide clinical decisions. In DCA, the best clinical decision strategy, such as diagnosing or treating based on an OBT, is the one that maximizes the concept of net benefit: the net number of.