Tuesday, November 19, 2024
2:00-3:00PM ET
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 with DIA 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.
Learn how OM1 Polaris can accelerate participant identification, streamline site selection, and reduce recruitment timelines for clinical trials, saving time and money.
Featured Topics:
- Discover how Polaris’ AI-driven insights can cut recruitment timelines and reduce trial costs
- Learn how real-world data and protocol-tailored profiles improve trial outcomes by identifying eligible patients earlier and with greater accuracy.
- Explore case studies on how Polaris addresses recruitment challenges in rare and underdiagnosed diseases, enhancing trial success and diversity in participant populations.
Speaker
Joseph Zabinski, PhD, MEM
VP, Head of Commercial Strategy & AI
OM1