Clinical trial recruitment remains a major bottleneck for the pharmaceutical industry, with 85% of trials struggling to meet participant targets despite nearly $1.9 billion spent annually. The financial stakes are high, with trial delays, primarily due to patient recruitment costing companies between $600K to $8M per day. Compounding this issue are fragmented healthcare data systems, leaving significant knowledge gaps that slow research and delay patient access to potentially life-saving treatments.

Join us for an insightful webinar on OM1 Polaris, the AI-powered platform that leverages real-world data (RWD) and advanced predictive modeling to optimize clinical trial recruitment. Polaris enables researchers to locate hard-to-find patient populations, particularly for complex conditions like cutaneous lupus, which have low incidence and diagnostic challenges. Learn how this innovative solution accelerates participant identification, streamlines site selection, and reduces recruitment timelines, saving both time and money for pharmaceutical companies.