Clinical Technologies Webinars

  1. In-House CAP And CLIA-Compliant Clinical Laboratory 5/8/2026

    Comprehensive, validated laboratory testing paired with advanced instrumentation and seamless EDC integration helps streamline clinical trials without downtime or data gaps.

  2. Human Abuse Potential: Subjective Ratings 5/5/2026

    Accurate subjective ratings are central to Human Abuse Potential studies. Learn how Visual Analog Scales are administered, what influences responses, and why data collection practices are essential.

  3. Human Abuse Potential: Participant Recruitment 5/1/2026

    Take a look at the strategies behind successful human abuse potential studies, from volunteer recruitment models to retention challenges, and how participant experience directly impacts data quality.

  4. Together, We Are On A Mission: Enabling Treatments To Reach Patients 4/22/2026

    This AI-powered digital clinical trials platform enhances speed, scale, and patient access in clinical research, accelerating medicines for thousands of conditions without treatment or cure.

  5. The Site-First Playbook: Best Practices For Successful EHR To EDC Adoption 4/21/2026

    This webcast highlights the benefits of streamlined data integration, reduced manual entry, and improved operational efficiency in clinical trials and the importance of collaboration.

  6. Where RWE Is Still More Hype Than Reality 4/20/2026

    There is a gap between promise and reality in using RWE for patient recruitment. And although some site-level success exists, Aaron Kamauu notes broader trial acceleration remains elusive, largely due to human factors like patient engagement and site execution.

  7. Where RWE Actually Improves Trials 4/20/2026

    Practical examples of RWE, according to Kathleen Mandziuk, include improving trial design, by refining I/E criteria, reducing patient burden, and using real-world behavior data. She highlights how mismatches between protocol demands and real patient lives can hurt recruitment and retention.

  8. Is Real-World Data Really "Messy?" 4/20/2026

    Aaron Kamauu challenges the idea that real-world data is simply flawed, arguing it often reflects the inherent messiness of healthcare itself. He emphasizes understanding data origin, context, and alignment with trial populations as critical for meaningful interpretation.

  9. Turning Messy Data Into Usable Evidence 4/20/2026

    Kathleen Mandziuk explains how transforming “messy” real-world data starts with clearly defining the research question, identifying available datasets, and addressing gaps. She highlights linking datasets, statistical methods, and balancing sample size with data limitations to generate meaningful evidence.

  10. Next Generation Platform Elosity 4/13/2026

    Built around real trial workflows, this next‑gen platform shortens timelines, adapts to amendments, and turns data into action with AI‑driven insights for better protocols, supply, and faster trials.