Featured Editorial

1. Pharma's Digital Transformation: Where It's Really At 5/18/2026

   Culture is still pharma’s biggest transformation bottleneck – what does it take to move from project thinking to product thinking?

2. How AI Is Changing Clinical Trial Design, Not Just Speed 5/14/2026

   The real AI opportunity in clinical trials isn’t efficiency – it’s simulating better studies before enrollment begins.

3. What Is Clinical Trials Day? Why Technology Helps Research Rise 5/13/2026

   Clinical Trials Day (May 20) recognizes the legacy of evidence-based medicine and the modern workforce that delivers it, increasingly with help from research technology.

4. DiMe's Navigator: Why Teams Still Stall On Digital Endpoints 5/11/2026

   DiMe’s sDHT Adoption Navigator helps clinical teams move from guidance to action, but the real test is whether organizations use it early enough to matter.

5. Why Are Life Science Companies So Poorly Prepared For RIM's Future? 5/11/2026

   Most organizations have modernized their global regulatory information management (RIM) systems and improved data quality. Yet modernization and readiness are not the same thing.

6. Digital Endpoints Are Ready. Clinical Development Isn't 5/7/2026

   Regulatory guidance and validation science for digital endpoints are solid. The real barrier is cross-functional execution – and the cost of waiting is compounding.

7. Why Clinical Trial Data Cleaning Must Go Continuous (And How To Do It) 5/4/2026

   Cleaning data is no longer an afterthought; it’s a continuous, risk-based must-have that protects integrity, ensures compliance, and drives reliable results.

8. What Clinical Analytics Solutions Are Shaping Clinical Research 5/4/2026

   Clinical analytics solutions, powered AI/ML and enabled by cloud computing, are indispensable assets in clinical research. Discover the latest technologies being leveraged for faster, more cost-effective, and personalized clinical trials.

9. Sites Are Building Their Own Tech – SCRS On What That Means 4/30/2026

   SCRS’s Jimmy Bechtel on why Bring-Your-Own-Tech is both a protest and a performance differentiator, and what the industry needs to do about it.

10. Human-In-The-Loop In AI Validation And Control: From Principle To Practice 4/28/2026

    Explores how human-in-the-loop oversight can move from principle to practice. with a risk-based framework for determining when HITL is required, how the human role should be defined, and what organizational factors influence its effectiveness.