Finding the Invisible: AI for Rare Disease Patient Identification

Rare disease patients often face lengthy diagnostic delays due to fragmented clinical data and nonspecific symptoms. Join us for this session to explore how artificial intelligence (AI) and integrated real-world data (RWD)—including electronic health records, medical and pharmacy claims, laboratory results, and diagnostic testing data—can help identify patients who may have an undiagnosed rare disease.  | Rare disease patients often face years-long diagnostic journeys. Discover how AI and integrated real-world data can uncover hidden patient populations, support earlier diagnosis, and enable more timely intervention. Learn how advanced analytics and targeted healthcare provider engagement are helping identify at-risk patients sooner and improving opportunities for better outcomes.

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