Meet Inspiring Speakers and Experts at our 3000+ Global Conference Series LLC LTD Events with over 1000+ Conferences, 1000+ Symposiums
and 1000+ Workshops on Medical, Pharma, Engineering, Science, Technology and Business.

Explore and learn more about Conference Series LLC LTD : World’s leading Event Organizer

Back

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

Biography: Yelizaveta (Lisa) Torosyan

Abstract

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.