“A personalized model is developed using factors that are specific to the current patient and such a model can be simple and yet more accurate in predicting clinical outcomes for that patient.”
Shyam Visweswaran, MD, PhD, Associate Professor of Biomedical Informatics, the Director of the Center for Clinical Research Informatics (CCRI) and the Director of the Biomedical Informatics Core of the University of Pittsburgh Clinical and Translational Science Institute (CTSI).
“As the data types and the data sources R3 is provisioning are expanding, the numbers of investigators and departments that RIO is serving are rapidly growing. R3 has received 800 requests from investigators within its first year of operation."
Jonathan C. Silverstein, MD, MS, FACS, FACMI, Chief Research Informatics Officer of the Research Office of Informatics (ROI) of the University of Pittsburgh’s Department of Biomedical Informatics.
“…creating a data commons for the region for commercialization, in partnership with UPMC and UPMCE, will eventually act as an attractive force for major biotech companies and pharma to cohabitate in Oakland. Oakland is the heart of Pittsburgh’s translational science ecosystem supported UPMC, CMU and Pitt. This cohabitation will further advance innovation in healthcare in areas such as: immuno-oncology, clinical decision support, mobile health, behavioral health, and opioid mitigation - all important areas that matter to national health and wellness…”
Michael J. Becich, MD, PhD
“The exquisite coordination and collaboration across these health data and health analytics initiatives were largely informed by the Plan for Pitt’s Goal 2: Engage in Research of Impact. Here we’re executing on two strategies that support Goal 2: ‘expanding our computational capacity’ and ‘Extend the Impact of our Research through application to practice, policy development, and commercial translation’. One example of executing on these goals is a recently funded CCA project within the Swanson School of Engineering (Principal Investigaor: Dr. David Vorp) that’s liberated a decades-long academic research project toward a tractable market solution. This project addresses the significant unmet clinical need of accurately predicting the risk of abdominal aortic aneurysms rupturing beyond the current standard of care that brings little comfort to patients and providers. With our expanded computational capacity in accessing and processing digital radiology images through R3 and our translational research design on solving the unmet clinical need we’re advancing the science toward saving over 200,000 lives per year."
Donald P. Taylor, PhD, MBA, CLP