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.
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.
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.
