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Data and Data Standards

This track showcases the most important initiatives in artificial intelligence, machine learning, blockchain, real-world evidence, big data. It will examine how and where these new technologies could and should be incorporated into drug development, approval and reimbursement processes, unlocking their potential and cost-efficiencies for the various stakeholders throughout the value chain.

Who is This Track Designed For?

Professionals involved in generating, using and evaluating real-world evidence, data specialists, observational study managers, informatics (bio and medical), data standards, data quality, clinical data management, clinical trial design, clinical operations, electronic health records and other data sources, submissions, health economics outcomes research and biostatistics. It will also benefit software developers, solution providers and device professionals.

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