Expert Insights On Data Management & Analysis
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i-Cubed Used End-To-End AI In A Proof-Of-Concept Trial. Here's What They Learned
7/2/2026
Discover how well AI fared in document generation, patient engagement, data integration, and more in an end-to-end proof-of-concept study run by i-Cubed.
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Understanding And Preserving Data Flow Integrity In AI-Assisted Clinical Trials
6/26/2026
Learn from ex-FDA and ELIQUENT consultant Dawn Wydner, Ph.D.., how treating data integrity as an end-to-end clinical information flow issue, rather than a database-only concern, is essential to managing AI-related risk.
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The Compliance Problem With Excel Trackers And Other Computational Tools — And How AI Can Help
6/16/2026
Everyday computational tools such as Excel are simple and easy to use, but they carry risk. Learn how these tools might not adhere to 21 CFR Part 11, and discover how AI can help keep them compliant.
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It's A Fact: Sharing Clinical Trial Results With Participants Builds Trust
5/14/2026
CISCRP experts share results from their annual Perceptions & Insights Study showing that patients continue to place a high value on receiving both individual and overall study results.
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Reimagining Data Governance For The AI Era
4/24/2026
Understand the persistent governance challenges that undermine AI initiatives and walk away with a robust blueprint for building a resilient, scalable, and ethically sound framework.
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Is It Time To Replace RECIST — Or Just Add AI?
4/16/2026
Immunocore Chief Regulatory and Quality Officer Mark Moyer explains why new tools, including AI-based approaches, may better capture cancer treatment response than existing measures, such as ir-RECIST.
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Redefining Patient Outcomes Measurement Using RWE Data
4/7/2026
Discover an outcome-channeling framework that organizes patient outcomes into multidimensional domains, emphasing longitudinal trajectories rather than single time endpoints.
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RWD Helps Researchers Include More Patients In Lymphoma Research
4/2/2026
Andrew Evens, DO, MBA, explores how outcomes research and collaboration across academic networks, registries, and industry partners are advancing more inclusive, data-informed approaches to lymphoma research.
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Unlocking Biopharma Innovation With Real-World Evidence
3/30/2026
Discover how how federated data networks, platform aggregators, and collaborative partnerships have evolved to meet the data demands of modern product development, regulatory strategy, and commercial success.
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Bayesian Digital Twins Show Potential For Predicting Prognosis And Treatment Response
3/30/2026
Learn how Bayesian digital twins are trained, validated, and trusted in clinical settings and explore the potential for integrating these models into interventional trials.