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 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...
TriNetX’s Real-World Data and Analytics Platform Used to Compare Antihypertensive Treatments and Cardiovascular Events; Findings Published in the Journal of Clinical Hypertension
Cambridge, MA, April 18, 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 the Journal of Clinical Hypertension has published its...
Blog
From Informative to Transformative: How Real-World Data is Fueling Healthcare Innovation
In 2024, the volume of healthcare real-world data (RWD) continues to grow exponentially. Healthcare generates around 30 percent of the world's total data volume, and this growth is largely driven by...
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