Real-world data/evidence case studies

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Learn more about our work from our library of real-world evidence/data case studies and explore our in-depth scientific expertise across disciplines.

Leveraging Real-World Data and machine learning

Early cancer detection is vital, yet many cases—especially lung cancer—are diagnosed late, limiting treatment options. Life sciences organizations now use real-world data and machine learning to identify subtle, pre-diagnostic signals in patient journeys, enabling earlier intervention and improved outcomes.
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Driving better outcomes with innovative interventions

A major pharmaceutical client explored whether a wellness app for glucose monitoring and nutrition coaching could reduce A1c levels in Type 2 Diabetes patients. They also assessed its potential to lower healthcare costs and its commercial viability for payer-supported integration into treatment plans.
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Breakthrough patient reach

In Q1 2024, Underscore Marketing launched an innovative unbranded campaign to educate patients with a rare lung disease. Using advanced data and privacy-compliant methods, the initiative validated symptoms and introduced a soon-to-be FDA-approved treatment, setting a new benchmark for disease education in healthcare.
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