Optimizing Trials with Lab Data: Upcoming Xtalks Webinar
On this free webinar, find out how data-driven providers can handle the challenges that contributing elements increase in scientific trial design, website identification and affected person recruiting, by means of the instance of incorporating Lp(a) testing in cardiometabolic illness trials. Attendees will achieve perception into how wealthy laboratory knowledge allows the power to uncover extra doubtlessly eligible sufferers. The featured audio system will share particular examples of how data-driven insights can inform and improve trial design, website identification and recruitment.
In an more and more complicated and saturated scientific trials setting, it’s important to design and implement a trial that’s focused, inclusive and possible. Protocols with overly stringent or broad eligibility standards can result in downstream challenges associated to deciding on websites and recruiting sufferers. Leveraging sturdy laboratory knowledge can inform the right way to arrange a trial for fulfillment from the beginning. Labcorp, a worldwide chief in laboratory providers, has deep experience and entry to diagnostic and central laboratory knowledge. Insights are generated from this knowledge to optimize trial design, determine high-performing websites close to sufferers and have interaction with tens of millions of sufferers for recruitment.
On this webinar, the featured audio system will stroll by means of how Labcorp’s Scientific Trial Enablement providers can help organizations all through the scientific trial lifecycle, highlighting how data-driven providers can handle the challenges with evolving contributing elements and complexities, by means of the instance of incorporating of Lp(a) testing in cardiometabolic illness trials.
Be part of specialists from Labcorp, Amanda Kukulski, Senior Director, Knowledge Merchandise; and Michele Jacobsen, Director, Affected person Recruitment Companies, for the dwell webinar on Wednesday, September 10, 2025, at 1pm EDT (10am PDT).
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