Designing More Precise And Efficient Clinical Trials Using AI-Driven Analytics

Clinical trials are notoriously complex and resource-intensive, with about 90% not making it to phase 1 approvals. When assessing these clinical trials, their success or failure garners far more attention than the fundamental inefficiencies that are leading to low success rates. One of the most persistent challenges lies in patient recruitment, where narrow eligibility criteria, crowded therapeutic landscapes, and time constraints converge to derail timelines and inflate costs.

Verana Health is addressing these pain points by applying artificial intelligence (AI) and real-world evidence (RWE) to enhance trial design and execution. By leveraging multimodal data from electronic health records—including structured information, unstructured clinical notes, and imaging data—trials can identify patient populations and clinical sites that align closely with study protocols. With better visibility into patient journeys and clinician practice patterns, stakeholders can design more efficient, inclusive, and successful clinical trials from the outset, ultimately accelerating the path from discovery to market.