INSIGHTS ON CLINICAL TRIAL TECHNOLOGIES

  • Accelerating DHT Research And Drug Development
    12/19/2024

    This presentation focuses on the scope and utility of the National Health and Nutrition Examination Survey, a program of studies designed to assess the health status of individuals in the United States.

  • Cell And Gene Unscripted: Real-World Evidence
    10/1/2026

    How will AI, digital twins, and synthetic control arms change real-world evidence? Explore how better data can help cell and gene therapies show long-term value. 

  • Waiver Of Consent vs Waiver Of Written Consent
    11/21/2024

    Learn the distinctions between a Waiver of Consent and a Waiver of Written Consent in clinical trials, and the importance of informed consent, particularly in the context of virtual trials.

  • Demystifying AI In Clinical Trials
    12/5/2025

    AI is revolutionizing clinical trials by improving efficiency and data quality, but success depends on strategy and oversight. Explore practical ways to integrate AI responsibly.

  • Streamlining Trials With eConsent And EDC
    12/23/2025

    Integrating eConsent with EDC streamlines clinical workflows, improves data accuracy, and enhances patient engagement by creating a unified, compliant system for consent and trial data management.

CLINICAL TRIAL TECHNOLOGY SOLUTIONS

  • Choosing the right vendor at trial launch impacts costs, timelines, data integrity, and patient experience — yet vendor selection in clinical research remains fundamentally broken today.

  • Engage with this friendly, feature-rich technology platform that's built with powerful, scalable, operational infrastructure that sponsors need to make global implementations successful.

  • Built From The Ground Up

    Block Clinical understood from the beginning that intuitive technology that integrates openly with other systems and suppliers is the key to a streamlined, affordable solution.

  • Running a device study with a small team? See how one platform handles data capture, consent, and long-term follow-up from first-in-human to post-market.

  • Learn how to adopt artificial intelligence in practical, measurable ways, from protocol feasibility and cohort modeling to clinical trial disclosure and transparency.