Summary
This report will present a state of the art overview of methods for i risk prediction from polygenic risk scores to hybrid approaches that combine multiple types of molecular data with longitudinal clinical data as well as for ii response to therapy predictions including integration of several omics technologies genomics proteomics metabolomics etc with clinical and registry data and in silico prediction models to provide clinical guidance for optimal drug efficacy and safety
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