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 Europe 2019 on the Impact of Using Global Electronic Medical Record Data for Real-World Evidence Generation
Cambridge, MA, October 31, 2019 — TriNetX, the global health research network that revolutionizes clinical research and enables discoveries through the generation of real-world evidence (RWE), today announced that it will present nine new research findings at the...
Children’s National Research Institute Expanding Research Resources for Investigators, Driving Multi-Site Pediatric Collaboration with TriNetX
Cambridge, MA, Oct. 22, 2019 — Children’s National Research Institute (CNRI), the research arm of the nation’s No. 6 ranked children’s hospital is rolling out the TriNetX platform to investigators at Children’s National Hospital and taking the lead in establishing a...
Trialbee and TriNetX Partner to Accelerate Patient-Centric Clinical Trials
MALMÖ, SWEDEN and RESEARCH TRIANGLE PARK, NC --- OCTOBER 15, 2019 --- Trialbee, a world-leading technology provider in patient matching and engagement, is partnering with TriNetX, a leading global real-world health research network comprised of >170M patients...
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