How AI Can Increase Clinical Development

In a recent Data in Biotech episode, Ross Katz (CorrDyn) and Patrick Leung (Faro Health) discussed how AI is revolutionizing clinical trial design and drug development. They highlighted how AI-driven protocol generation tools streamline document creation, while patient burden analysis models help optimize study design for better retention and outcomes. Structured data models are becoming the foundation for AI workflows, enabling more efficient and specialized tools for biomedical applications.

They also explored how large language models (LLMs) are automating key aspects of trial documentation, improving both accuracy and speed. As AI adoption accelerates, regulatory oversight and governance are becoming critical to ensuring compliance and trust. Ultimately, AI is enabling faster, smarter, and more patient-centered clinical trials—driving greater efficiency, precision, and innovation across the biotech landscape.