Apply to trial NCT07460440

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SPARC - Screening for Lung Cancer With Platelets Via an AI-enabled RNA-based Classifier

The purpose of this study is to test whether combining a unique analytical approach with changes in platelet RNA expression accurately diagnoses lung cancer. Using retrospective platelet transcriptomic data from 522 patients with non-small cell lung cancer (NSCLC, the most common type of lung cancer), an approach that appears to accurately classify lung cancer has been developed. The study will build upon these retrospective analyses to prospectively recruit patients with newly diagnosed lung cancer, obtain platelet RNA samples from whole blood, and perform validation analyses. This research will also test whether this approach accurately distinguishes benign from malignant lung nodules.

How this works

  1. Answer a few questions

    About 5 to 10 minutes. Skip-friendly where possible.

  2. We connect you with the study team

    When a site picks up your application, we introduce you to their team directly — with you on the thread.

  3. The team reaches out to schedule screening

    Usually within a few business days, via the contact you give.

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