Development of statistical models in computational medicine

The project aims to characterize the phenotype-genotype correlations in onco-hematology. The objective is the use of clinical data, including those obtained by next-generation sequencing, to characterize diseases from the genetic, epidemiological, and process risk models. The research includes the development of personalized and predictive mathematical disease models, including their “user friendly” representations as nomograms and scores for in-clinic use. The project addresses the evidence-based characterization, validations and cross-validation of models. The analysis includes the realization and validation of computational models predictive of type biostatistician, biophysical, and bioinformatics, including models of personalized risk estimation in secondary myelofibrosis with the inclusion of mutational data; The development of the corresponding mathematical methods; The comparative characterization with primary myelofibrosis; Potential characterization of mutations with techniques of structural biology and computational biophysics.

Site: http://www.mysec-pm.eu

Fund(s): Analisi dati per la ricerca e caratterizzazione del rischio clinico in malattie oncoematologiche. DSB.AD003.040. Università degli Studi dell'Insubria.

Members:
Toni Giorgino (Principal investigator)