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Join Chief Editor Dan Schell on March 25, at 1pm Eastern for Turning RWD Into RWE That Works For Trials. Our panelists for this live event will 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. Register for free today.
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By Donatella Ballerini, GCP Consultant
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The EU AI Act introduces real obligations for teams using AI in GCP-critical eTMF environments. Part two of this series breaks down exactly how to operationalize compliance, step by step.
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Is Your Legacy EDC Holding Back AI In Clinical Trials?
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By Crucial Data Solutions
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Aging EDC systems create hidden barriers that prevent AI from delivering real value in clinical workflows. Learn what modernizing your data foundation actually requires — and where to start.
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5 Clinical Trial Predictions For 2026 You Need To Know
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By Elena Filimonova, Suvoda
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The shift from AI hype to proven utility is reshaping what trial success looks like in 2026. Discover why unified data and seamless site experiences are now non-negotiable for resilient trials.
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Evolving Data Review With AI
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By Revvity Signals Software, Inc.
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AI is transforming clinical data review by automating processes and enhancing efficiency. Discover the four stages of evolution that emphasize automation, regulatory alignment, data analysis, and human oversight.
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Rewriting The Rules Of Clinical Trials Through Digital Biomarkers
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By Clinical Trials Technology Congress
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Digital biomarkers are reshaping clinical research with continuous, real‑world data that enhances insights, accelerates timelines, and supports patient‑centric design. Explore how emerging tools, AI, and cross‑industry collaboration are driving smarter, more connected clinical development.
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How AI Is Revolutionizing Health Economics And Outcomes Research
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By ISPOR—The Professional Society for Health Economics and Outcomes Research
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AI is reshaping how evidence is generated and outcomes are measured across the healthcare landscape. Watch this video to understand what HEOR leaders need to know about AI-driven innovation.
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