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25th World Congress on Cancer Science and Therapy

Baltimore, USA

Yelizaveta (Lisa) Torosyan

Food and Drug Administration, USA

Title: In silico approach to biomarker discovery and precision medicine applications pertaining to medical devices


Biography: Yelizaveta (Lisa) Torosyan


Translational research involving pharmacoepidemiologic and pharmacogenetic applications is critically important for enabling access to safe and effective medical products. The ongoing efforts for predictive evaluation of real-world performance of medical devices at the Division of Epidemiology at the Center for Devices and Radiological Health include development of an in silico framework that is based on re-utilization of pre-existing epidemiologic and genetic data and that is aimed to identify candidate biomarkers indicative of device performance. The current presentation will share experience from a number of projects on the discovery of device-related biomarkers guided by epidemiologic evidence. As an example, a retrospective analysis of discharges from the Nationwide Inpatient Sample from Agency for Healthcare Research and Quality (NIS/AHRQ) will be presented as a preliminary step for the discovery of candidate SNPs using Personalized Medicine Research Project data on hip arthroplasty outcomes from Marshfield Clinic Research Institute (PMRP/MCRI). The presentation will also include use of causal analytics approaches (ingenuity pathway analysis) for exploring functional plausibility of the identified candidate SNPs indicative of periprosthetic osteolysis in the sex/race-stratified subpopulations with hip arthroplasty. As a result, the presentation will render new in silico approaches that reutilize pre-existing (genetic and epidemiologic) data and that thus can augment the evidentiary needs for development of cost/time-efficient precision medicine applications.