Consulting
Scientific expertise for regulatory engagements, study design, and more.
Expert guidance, every step of the way
When your evidence needs to be rigorous, defensible, and ready for regulatory review, our consulting team is here to support you.
Led by internationally recognized experts — including leaders ranked in the world’s top 2% of most-cited scientists — we provide practical guidance across study design, strategy, and regulatory engagements to ensure your evidence generation is robust, valid, and actionable.
How can we support your research today?
Explore our expert consulting services
RWE consulting
Expert guidance for regulatory engagements and RWD study design, led by recognized industry leaders.
RWE research
Expert support from study design to dissemination to generate trusted evidence. Consultation to strengthen your evidence strategies and improve research outcomes from leaders in the field.
External control arms
Generate representative, fit-for-purpose control data with TriNetX external control arms.
Epidemiological services
Our epidemiological consulting team brings decades of experience to advance your goals through every stage of the evidence generation journey.
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Got a question, query, or just want to learn more? Our RWD experts are a click away
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Explore our latest articles, news, and whitepapers
In a crowded second-line ulcerative colitis market, the question isn’t whether a therapy works in a controlled trial. It’s what happens when it’s deployed in real-world clinical practice.
Run time: 8 mins. Having access to data is no longer enough. The studies that succeed in peer review, grant competitions, and regulatory submissions are the ones built on rigorous foundations from the very start.
Discover why TriNetX is the most-cited EHR dataset in peer-reviewed publications. Explore how our high-quality real-world data (RWD) powers high-impact research in top-tier medical journals and drives global breakthroughs in real-world evidence.
Details matter. They reveal something about the relationship between data and AI generalizability that doesn’t show up in a single headline stat.
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