Central Laboratories Featured Articles

1. Overcome The 6 Most Common Hurdles To Turning Wearable Data Into Usable RWE 10/27/2026

   Wearable data is easy to collect but difficult to turn into trusted RWE. Explore six fixes for the most common data problems when using wearables in research.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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.

9. Rebecca Jackson: EHR-To-EDC Needs A Reality Check 8/10/2026

   Rebecca Jackson offers a candid reality check on EHR-to-EDC integration, AI, and clinical trial technology, arguing that innovation must solve real operational problems — not create new ones.

10. 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.