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
COVID-19 Research Published in The Lancet Rheumatology Finds Rheumatic Disease Patients are at a Reduced Likelihood of Severe Outcomes Now vs. Early Days of Pandemic
Researchers at Massachusetts General Hospital and Harvard Medical School using de-identified real-world data from TriNetX found decreased risk of hospitalization and death over time for rheumatic disease patients suffering from COVID-19
Scotland’s NHS Greater Glasgow and Clyde Health Board Seeks Better Use of Data and Increased Participation in Clinical Trials by Joining TriNetX Network
NHS Greater Glasgow and Clyde Health Board (NHSGGC), the largest NHS organization in Scotland and one of the largest in the UK, has joined the TriNetX global health research network to better leverage its extensive patient data and to promote its participation in clinical trials and research.
TriNetX Recognized by Deloitte as One of the Fastest-Growing Companies in North America
Cambridge, MA, November 19, 2020 — TriNetX, the global health research network that revolutionizes clinical research and enables discoveries through the generation of real-world evidence (RWE), today announced it has placed on Deloitte’s Technology Fast 500™, a...
Blog
RFK Jr.’s HHS Agenda: What Investigations into Antidepressants and Childhood Vaccines Mean for Pharma and Public Health
With Robert F. Kennedy Jr. now at the helm of the Department of Health and Human Services (HHS), his recent speech to agency staff marked the beginning of what could be a seismic shift in U.S....
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






