Paradigm Health and FDA Begin Collaboration on Real Time Clinical Trial Review
Paradigm Health has launched a research collaboration with the U.S. Food and Drug Administration focused on developing a model for faster clinical trial execution and regulatory review, announced in a press release. The model uses Paradigm Health's Study Conduct platform to enable the FDA to review data in real time by automating collection, analysis, and reporting of key safety and efficacy signals.
The collaboration is already active in a Phase 2 trial sponsored by AstraZeneca and a Phase 1b trial sponsored by Amgen. Sites participating include MD Anderson Cancer Center and the Perelman School of Medicine at the University of Pennsylvania. The system captures data directly from electronic health records and other sources, evaluates FDA-defined criteria, and transmits only critical information to the FDA and sponsors.
Paradigm Health has worked with the FDA since early 2026 to establish protocols for reporting, validation, and interoperability between systems. The platform is designed to reduce data entry and monitoring requirements while maintaining data traceability and patient privacy. The goal is to create a scalable model that lowers trial costs and shortens the time needed for regulatory review.
We hope you enjoyed this article.
Consider subscribing to one of our newsletters like Life AI Weekly, AI Policy Brief or Daily AI Brief.
Also, consider following us on social media:
More from: Life Sciences
More from: Regulation
Subscribe to Life AI Weekly
Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.
Market report
AI’s Time-to-Market Quagmire: Why Enterprises Struggle to Scale AI Innovation
The 2025 AI Governance Benchmark Report by ModelOp provides insights from 100 senior AI and data leaders across various industries, highlighting the challenges enterprises face in scaling AI initiatives. The report emphasizes the importance of AI governance and automation in overcoming fragmented systems and inconsistent practices, showcasing how early adoption correlates with faster deployment and stronger ROI.
Read more