Resources
Explore how healthcare organizations, researchers, and life sciences partners from our global community use TriNetX to turn real-world patient data into evidence that drives progress.
Jeff Brown takes some time to emphasize something important: TriNetX is here not only as a data partner, but as a research partner, and we want to help you win grants.
Children’s Mercy is focused on expanding access to de-identified clinical data in support of its research mission: equipping investigators with tools and resources that help strengthen studies, accelerate insights, and ultimately improve care for children.
IL-17 inhibitors have become a cornerstone of treatment for immune-mediated conditions including psoriasis and ankylosing spondylitis. But as these therapies have moved from trial settings into widespread clinical use, safety monitoring is using real-world data as a crucial task to ensure safety and effective medication use.
TriNetX Chief Scientific Officer Jeffrey Brown, PhD, and Miguel Hernán, MD, PhD, ScD, Director of CAUSALab at Harvard, walk through a practical framework for designing rigorous Real-World Data studies for causal inference.
A peer-reviewed study evaluating an AI model for hepatocellular carcinoma (HCC)
risk prediction highlights that AI success in global clinical development depends on access to scalable, standardized, and federated real-world data infrastructure.
The Pinnacle Awards named TriNetX as a Platinum winner in AI Solutions for Clinical Research & Data Insights at the 2026 Pinnacle Technology Awards.
Most clin ops leaders know intuitively that their AI results have been inconsistent. Fewer know exactly which part of the data foundation is responsible, or what specific questions to ask to find out.
Run time: 8 mins. As global privacy regulations tighten, researchers can no longer rely on centralizing patient data to conduct multi-site studies — yet the demand for large-scale real-world evidence has never been higher.
The way smoking data get lost illustrates exactly how structured clinical datasets systematically fail to capture what’s clinically meaningful, and why that matters for every AI model built on them.
The milestone reflects accelerating international growth and gives pharmaceutical companies, academic researchers, healthcare providers, and health-tech innovators access to trusted, current, clinically rich, and globally representative real-world data.
The clinical trial industry has made a significant bet on artificial intelligence. The investment has been substantial. The results have been harder to quantify.
The TriNetX LIVE™ network has crossed 300 million patients across 240+ healthcare organizations and 13,000+ sites.
Join a global community of innovators. Discover how to turn real-world data into groundbreaking clinical insights.
Meet TriNetX at Events
Bridge the gap between raw data and patient care. Meet the team at flagship healthcare conferences across the globe, and learn how to leverage the TriNetX ecosystem to streamline trial timelines, improve site collaboration, and publish research that changes lives.
