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Leveraging Real-World Data for the targeted treatment of cancer

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Executive summary

Bladder cancer, one of the most heterogeneous cancers, exemplifies how Real-World Data (RWD) can transform clinical decision-making and improve treatment outcomes. This white paper explores how RWD complements clinical trials, enables better-informed therapeutic choices, and opens new perspectives for integrating AI-driven predictive models in oncology.

With the rise of Real-World Data, we are on the brink of transforming treatment approaches, offering hope where there was once uncertainty. This initiative marks a critical step towards better patient outcomes in this complex disease.

Dr. Manuel Castanheira de Oliveira, CENTRO HOSPITALAR DE SANTO ANTÓNIO, PORTUGAL
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Two decades of data security: Pioneering TREs and Federated Data Analysis

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Achieving accurate predictive models through more diverse datasets

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Overcoming the Hurdles of Real-World Data Access through a Federated Global Network

Unlock global, harmonized RWD to accelerate insights, support ECAs, and strengthen your drug development strategy with real-world success stories.

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