Industry Insights

1. Bridging Language And Medicine: Best Practices In French Regulatory Medical Writing 3/27/2026

   Poor translations are not just clunky. They can be risky. Medical-linguistic consultant Farah Ayadi, PharmD, explains its implications for safety, regulatory submissions, and downstream operational or financial outcomes.

2. Research Center Layout Helps Lower Barriers To Cross-Industry Collaboration 3/27/2026

   Discover how one research center, uniquely built for collaboration, enables the collection and analysis of high-quality specimens and data that will fuel both current and future research collaborations.

3. Redefining eSource: A Smarter, Site-Centric Approach To Clinical Trial Data Capture 3/26/2026

   Discover how AI-powered extraction and site-centric workflows improve data quality and reduce administrative burdens for research teams.

4. Elsa's AI Model Migration: Technical, Compliance, And Regulatory Risks For Sponsors (Part 2) 3/26/2026

   In the second part of their series on Elsa AI model migration, Kimberly Chew, Esq., and Michael Yang, Esq., analyze the risks to compliance and data residency, as well as the integrity of the regulatory record.

5. Site Staffing On The Upswing, But Still A Challenge 3/26/2026

   In this final article of the series, Jimmy Bechtel and Ken Getz discuss how workforce pressures have shaped site performance and what’s being done to strengthen site staff retention and career growth.

6. From Real-World Data To Real-World Impact: Building The Evidence Capability Pharma Actually Needs 3/25/2026

   Learn how companies that treat RWE as an operational capability will be better positioned to design more efficient trials, accelerate therapy adoption, strengthen payer negotiations, and demonstrate value across the healthcare ecosystem.

7. Zymeworks Shares Its Design Rationale (And Wins) In Early-Phase ADC Trials 3/24/2026

   Zymeworks CMO Sabeen Mekan, MD, explores how scientific gains in ADC therapies have influenced first-in‑human trial design.

8. A Clinical Machine Learning Operations (MLOps) Maturity Framework For Biopharma 3/24/2026

   Pharma has invested substantially in machine learning applications, but investment in the operational infrastructure — the MLOps layer — has lagged. The time to build that infrastructure is now — not after your next trial fails.

9. Don't Let The Nocebo Effect In Psychedelic Trials Become A Regulatory Problem 3/23/2026

   When a patient feels no effect or a worsening effect because a known treatment effect was or wasn't experience, that's the "nocebo" effect. Strategic Advisor Jama Pittman discusses how this effect could impact regulatory reviews.

10. Early Engagement With Sites: Timing Matters More Than Tools 3/20/2026

    Involving sites earlier in study planning changes how trials unfold. This piece explores how timing influences alignment, execution, and day-to-day delivery across the clinical research lifecycle.