News & Events
Learn more about TriNetX through media coverage and upcoming events
News & Events
Learn more about TriNetX through media coverage and upcoming events
Press Releases
TriNetX to Present at ISPOR 2019 on the Power of Real-World Data to Impact Research Across a Wide Variety of Therapeutic Areas
Cambridge, MA, May 6, 2019 — TriNetX, the global health research network that optimizes clinical research and enables discoveries through the generation of real-world evidence (RWE), today announced that it will present eight posters at the upcoming International...
TriNetX Delivers Public Comments on the Use of Real-World Evidence at the Reagan-Udall Foundation’s 2019 Annual Public Meeting
Cambridge, MA, May 2, 2019 — TriNetX, the global health research network that optimizes clinical research and enables discoveries through the generation of real-world evidence (RWE), today delivered public comments on the use of RWE at the Reagan-Udall Foundation’s...
Hungary’s University of Debrecen Joins TriNetX Network to Increase Collaboration and Growth in Commercial Clinical Studies
Cambridge, MA, April 30, 2019 — The University of Debrecen, one of the oldest continuously operating institutions of higher medical education in Hungary, has joined the TriNetX global health research network to develop collaborative research partnerships with other...
Blog
Turning Clinical Trial Site Selection on its Head: A Bold New Approach
TriNetX is empowering researchers with RWD that is seamlessly connected to their site selection process. This allows them to use patient counts as a predicting factor — down to the site level — to select their trial sites rather than rely solely on the traditional site identification approach, which is largely centered around convenience, infrastructure, and past performance.
Recent Scientific Publications
Harrison, S. Fazio-Eynullayeva, E., Lane, D., Underhill, P., Lip, G. “Atrial fibrillation and the risk of 30‐day incident thromboembolic events, and mortality in adults ≥ 50 years with COVID‐19.” Published in Journal of Arrhythmia, 11 December 2020.
Applebaum, L., Berg, A., Cambronero, J., Dang, T., Jin, C., Zhang, L., Palchuk, M., Kundrot, S., Evans, L., Kaplan, I., Rinard, M. “Development of a pancreatic cancer prediction model using a multinational medical records database.” Journal of Clinical Oncology 2021 39:3_suppl, 394-394. 22 January 2021.
Webinars

Closing Gaps in Patient Diversity Within Clinical Trials Using Real-World Data
March 24, 2021
Watch On-Demand

Learn How to Utilize COVID-19 Vaccination Data Available on the TriNetX Platform
February 24, 2021
Watch On-Demand