12.12.25 -- FDA Vs. MHRA Vs. EMA: Differences In Externally Controlled Trials

Discover how flexible, site-focused monitoring strategies are transforming clinical trials by improving communication, enhancing compliance, and resolving challenges before they impact study success.

This dynamic, system-agnostic approach to modernizing clinical trial monitoring supports targeted oversight, as well as sampling at the subject, visit, and form levels.

Artificial intelligence is shifting from promise to practice in biopharma. Zhong Lu, director of data science and AI at Novartis, outlines how AI is evolving the clinical trials process end-to-end.

Learn how AI can accelerate root cause analysis, predict quality risks, and streamline CAPA without compromising compliance or overwhelming your team with practical strategies.

For life sciences leaders and professionals, this piece offers a practical framework to turn data management into a driver of efficiency, compliance, and innovation.

Automating FDA data validation rules and analyzing audit trail data can significantly reduce fraud and predict areas of concern. Discover how these advancements can transform your clinical trials.

This presentation explores how digital health tools and AI diagnostics are transforming clinical research, driving accurate evaluations and faster therapy development for chronic pain and neurological disorders.

Multiple logins slow down site staff. Seamless SSO integrations reduce friction, eliminate extra steps, and help coordinators stay focused on trial execution — not portal management.

Read how IQVIA Biotech can help develop a strategy that will effectively translate into trial execution and avoid costly amendments down the road.