Expert Insights On Data Management & Analysis

1. What Ecological Momentary Assessment Taught Us About Real-World Hearing Outcomes 10/5/2026

   Ecological momentary assessment (EMA) reveals how people experience hearing challenges beyond the clinic. Here, researchers highlight its relevance in designing real-world hearing studies.

2. How Digital Twins Are Reshaping Clinical R&D 9/28/2026

   Discover how digital twins are helping predict outcomes, streamline recruitment, reduce patient burden, and accelerate clinical development.

3. Clinical Trial Standards — What They Are And Why They're Indispensable 9/8/2026

   Clinical trial standards are essential. But to interpret changes, preserve meaning, and assess downstream impact, context is key.

4. The Promise Of MRD-Guided CAR-T Treatment 9/3/2026

   Minimal residual disease markers can reveal relapse before clinical signs appear, when off-the-shelf cell therapy may have its greatest advantage.

5. Lessons In Forecasting Discipline From A $40B Supply Chain 8/31/2026

   Forecasting errors rarely start with the algorithm. They start when protocol changes, enrollment and site data reach the supply plan too late to prevent waste and disruption.

6. Building The Execution Architecture For Real-World Data To Have Real-World Impact 8/20/2026

   RWE's next challenge is execution. Learn how life sciences orgns can turn evidence into sustained business and clinical impact.

7. Rare Disease Study Gets A Boost From Crowdsourced Patient Reported Data 8/18/2026

   Jen A. Levitt, MD, explains how crowdsourced patient-reported data and AI tools can compress rare disease research timelines and surface new signals.

8. 3 Ways To Solve Data Friction In Modern Clinical Data Management 8/4/2026

   Senior clinical data manager Shasidar Reddy Abbidi shares how to reduce data friction with targeted automation, early standards adoption, and clearer workflows that move data to decisions faster.

9. What Pistoia Alliance's AI Poll Reveals About Industry Readiness And Regulatory Confidence 7/17/2026

   Pistoia Alliance President Becky Upton, Ph.D., reviews findings from a poll about AI use in clinical research conducted at Clinical Trials Technology Congress (CTTC) that revealed barriers to adoption, early ROI, emerging use cases, and the role of patient-generated data.

10. Before AI Can Transform Clinical Trials, It Needs More Patient Data 7/7/2026

    King’s College London Professor Maddy Parsons says AI won't improve clinical trials — unless researchers begin collecting richer biological data, embracing diversity, and treating every clinical trial as learning opportunity.