Xtalks will host free webinar Feasibility Without Guesswork: Unlocking Genomic and Real-World Data for Faster Study Execution exploring how connected real-world genomic and clinical data can support more accurate clinical trial feasibility and site selection on Wednesday November 4 2026 at 11am EST.
Clinical trial feasibility long constrained by fundamental problem: data used to estimate patient availability rarely reflects patients who will actually enroll. Site surveys capture what investigators think they have seen. Historical enrollment figures describe what happened in prior studies under different protocols. Neither answers question that matters: do right patients with right biology exist at right sites today.
This webinar introduces new feasibility standard one grounded in connected real-world evidence that spans structured clinical data, genomic and biomarker profiles and unstructured clinical notes. Together these data layers allow sponsors and clinical operations teams to test protocol feasibility before sites are selected not after activation already committed resources to wrong locations.
Samantha Eells, Solutions and Market Lead for Clinical Operations at TriNetX and Mark Hughes, Genomics Solution Engineer at TriNetX, will walk attendees through how deeper more connected data transforms each stage of feasibility process. Attendees will learn how to translate complex protocol eligibility criteria including molecularly defined inclusion requirements into queryable variables across real-world patient populations, how to identify sites where both patient population and operational evidence support successful enrollment and why combining structured EHR data with genomic profiles and clinical notes produces fundamentally more reliable feasibility estimates than any single data type alone.
For precision medicine studies, oncology trials and rare disease programs in particular, ICD and CPT codes alone cannot define eligible population. Patient with right diagnosis may lack required biomarker. Site with high volume may have no genomic data coverage. Webinar addresses both gaps and demonstrates how connecting evidence layers earlier in study design reduces risk of missed enrollment targets, delayed timelines and costly protocol amendments.
Attendees will leave with practical framework for evidence-driven feasibility and clearer picture of what it means to select sites based on confidence not assumption. Join experts from TriNetX for live webinar Wednesday November 4 2026 at 11am EST 5pm CET EU-Central. For more information or to register visit Feasibility Without Guesswork page.
