Clinical Technologies Webinars

  1. Help Your IRT and eCOA Work Together With The Right Platform Solution 3/18/2026
  2. Practical ICH E6(R3) Oversight For Your Centralized Monitoring Strategy 3/17/2026

    Bridge the gap between fragmented data and ICH E6(R3) compliance. Learn to use unified data signals to catch consent errors and enrollment delays before they trigger audit findings.

  3. On-site ePRO Solutions For Flexible Data Collection Across Devices 3/17/2026

    Optimize flexible electronic patient-reported outcomes that allow participants to switch between site-owned devices, personal hardware, and remote completion.

  4. Castor Product Spotlight: The Self-Driving Study 3/17/2026

    Discover how agentic AI automates clinical workflows, reducing data timelines from weeks to hours and cutting chart review costs by 90% while maintaining regulatory-grade rigor and audit readiness.

  5. Continue To Choose New AI-Related Projects 3/12/2026

    After seeing AI reduce setup time and change requests, Novo Nordisk’s Ibrahim Kamstrup-Akkaoui and his team expanded AI’s use to automate documentation and medical coding, allowing staff to focus on complex work while improving efficiency and quality.

  6. 3 Pillars Of Trustworthy AI In Clinical Trials 3/12/2026

    Donna Rivera of Canal Row Advisors stresses that successful and regulator-trusted AI depends on three fundamentals: high-quality, fit-for-purpose data; transparent and explainable models; and cross-disciplinary collaboration to ensure meaningful clinical impact.

  7. Start With The Question, Not The Technology 3/12/2026

    As a former FDA employee, Donna Rivera emphasizes defining the problem and regulatory context first to ensure any AI solution is fit for purpose.

  8. How To Separate AI Hype From Real Value 3/12/2026

    Victoria Gamerman, strategy leader for RWD Insights, outlines three principles for evaluating AI solutions, including proven experience, data readiness, and lifecycle ownership.

  9. Think Big, Start Small With AI 3/12/2026

    Ibrahim Kamstrup-Akkaoui discusses using AI to simulate trials and uncover patterns or new indications to inform smarter study design.

  10. What "AI-Ready Data" Really Looks Like 3/12/2026

    Of course, “AI ready” is subjective. But, consultant Victoria Gamerman explains that AI readiness requires traceable patient journeys, standardized data definitions, and governance structures.