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Xtalks, Online
2025-11-18
Building on the foundational concepts introduced in a prior webinar, this follow-up session will focus on how multimodal real-world clinical data can be used to define and investigate research cohorts. Join this webinar to explore how layering multiple types of clinical data can improve cohort precision and research insight.
Using examples of de-identified data sourced from a large academic medical center, the featured speakers will walk through several real-world research scenarios that show how different data modalities, including structured tables, narrative notes, imaging and genomics, can be integrated to strengthen cohort design.
This webinar will also address common pitfalls in cohort development, such as diagnostic ambiguity and reliance on single data types. The speakers will share strategies for working with and validating complex clinical concepts, balancing diagnostic specificity with cohort size and navigating common challenges in real-world data research.
Register to learn more about working with complex multimodal real-world clinical data to support thoughtful, scalable cohort design.
Keywords: Basic Research, Clinical Data, Clinical Research, Clinical Study Design, Clinical Trial Design, Clinical Trials, Data Management, Data Science, Drug Development, EHR, Real-World Data, Real-World Evidence, RWD
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Organized by:
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Xtalks |
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Invited Speakers:
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Amber Watson, Associate Medical Director, NashBio
Steven Held, Medical Director and VP, Clinical Affairs, NashBio
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Deadline for Abstracts:
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2025-11-18
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Registration:
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Free Registration
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E-mail:
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tristan@xtalks.com
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