Newsletter | May 12, 2026

05.12.26 -- Turning Real-World Data Into Real-World Evidence That Works For Trials

SPONSOR

AI Meets Informed Consent: Opportunity, Risk, & What IRBs Need to See

As generative AI begins shaping how consent materials are created and delivered, sponsors and CROs face new ethical and regulatory challenges. This session explores core consent principles, emerging AI applications, and what IRBs need to know. Clinical operations leaders will gain a framework for evaluating AI assisted consent tools, improving IRB collaboration, and protecting participant understanding and autonomy. Click here to learn more.

CLINICAL TRIAL TECHNOLOGY

Turning Real-World Data Into Real-World Evidence That Works For Trials

Real-world data is everywhere, but turning it into real-world evidence regulators and sponsors can trust is the real challenge. Our panelists for this live event, Aaron Kamauu, MD and Kathleen Mandziuk, MPH, RN, cut through the noise to show how RWD/RWE can streamline trial design, speed timelines, and deliver real results without getting tripped up by messy data or shaky validation.

Quantifying Potential: Leveraging Data To Showcase Biotech Value

Biotechs must use data-driven insights to prove asset potential. Real-world evidence and predictive analytics validate differentiation, forecast market opportunity, and build investor confidence.

Clinical Trials Are The Global Biopharma Industry's Biggest Headache

Explore how technology-driven, patient-centered innovation is transforming clinical trials to reduce risk, improve efficiency, and deliver smarter development outcomes.

Transform Your Clinical Trials With Central eSource

Accelerate your trial startup and reduce site burden with a central eSource that allows sponsors to develop and publish central source templates to sites.

Predictive Spend Modeling

Get a clear, fast view of your true logistics costs. Our budgeting tool empowers trial managers to accurately forecast and fully understand the total cost of patient and site support.

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  • Clinical Trial Technology (Tuesday)
  • Decentralized Trials | Trial Management (Wednesday)
  • Outsourcing Models | Regulatory & Compliance (Thursday)
  • Clinical Data Management & Analytics | Trial Monitoring (Friday)

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