Clinical Technologies Webinars

  1. How To Escape The AI Pilot Trap 6/3/2026

    Agentic AI promises proactive recommendations, cross-functional coordination, and faster decisions, but deploying it effectively requires alignment, oversight, and stakeholder buy-in.

  2. Stop Guessing On Trial Feasibility: Simulating Patient Recruitment With AI 5/28/2026

    Simulate enrollment, endpoints, and criteria with integrated data and synthetic populations to test protocol feasibility early — refining design and reducing recruitment and regulatory risks.

  3. Automating The Clinical Trial Lifecycle With AI | TrialKit 5/28/2026

    AI-driven clinical trials replace manual steps with end-to-end automation, accelerating study setup, cutting costs, and delivering early insights through integrated simulation and analysis.

  4. Eliminating Friction Across RTSM With Elosity 5/20/2026

    This session cuts into where operational complexities actually surface after go‑live and shows how Elosity eliminates it through controlled change, real‑time insight, and scalable oversight across the full trial lifecycle.

  5. AI Meets Informed Consent: Opportunity, Risk, And What IRBs Need To See 5/14/2026

    Expert perspectives on IRB oversight, health literacy, and research ethics offer practical guidance to strengthen consent, protect participants, and align compliance with real-world research.

  6. The Problem With Adding RTSM Software Into An eClinical Suite 5/13/2026

    RTSM software is very different from other eClinical tools, and trying to bundle it into an all-in-one platform can sometimes create more challenges than advantages.

  7. Great Clinical Trial RTSM Requires Both People And Platform 5/13/2026

    Successful RTSM delivery depends on more than software alone; it also requires experienced teams supporting the process.

  8. Seamless RTSM Rescue Case Study 5/13/2026

    Learn how we helped a company build an ecosystem to accommodate the SAP integration and a new participant workflow.

  9. CSA Gap Assessment 5/12/2026

    Learn how life sciences organizations are shifting from CSV to CSA using risk-based validation, automated testing, supplier leverage, and AI-ready compliance strategies.

  10. Applying AI to Study Simulation: From Design to Analysis 5/12/2026

    See how AI-generated synthetic patient populations can mirror real trial outcomes, enabling teams to test assumptions, refine protocols, and anticipate variability early — helping reduce risk, cost, and time while improving study design decisions.