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October 14, 2026

The future of evidence generation

AI, real-world data, and trust

What if real-world evidence moved at the speed of healthcare itself?

Traditional research often takes months to progress from question to insight. Yet healthcare decisions, therapy adoption, safety signals, and emerging treatment patterns unfold in real time. Truveta Intelligence introduces a new approach: ask a question in natural language, uncover emerging patterns across the nation’s largest collections of real-world patient data, then verify findings using transparent, regulatory-grade methods.

Join Michael Simonov, MD, Chief Product Officer at Truveta, for a live demonstration of Truveta’s “ask and verify” approach to evidence generation. Using real-world examples from GLP-1 research, you’ll see how researchers and life sciences teams can identify emerging trends in minutes, validate findings with confidence, and accelerate the path from signal to evidence.

Using Truveta Intelligence and Data, webinar attendees will learn how to:

  • Explore clinically rich, continuously updated real-world data through natural language queries.
  • Identify emerging research opportunities and treatment patterns in real time.
  • Validate findings with transparent, reproducible methodologies.
  • Accelerate decision-making without sacrificing scientific rigor or trust.

Register for the webinar now

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Speaker bio

Michael Simonov, MD

Michael Simonov, MD, Chief Product Officer at Truveta, is an internist and clinical informaticist whose primary career focus has been leveraging electronic health record data for improving human health. At Truveta, he leads the product and clinical informatics teams to ensure Truveta Data and Truveta Studio provide the highest-quality data and analytics to fuel clinical research. Prior to this role, he served as medical information officer for research at the Yale New Haven Health System and a clinical researcher in the Yale Department of Medicine.    .