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As stakeholders increasingly seek more robust evidence from registries and observational studies, researchers must adopt innovative methods for generating data. Previously restricted by outdated study models, evidence generation can now be more efficient and flexible through the use of cutting-edge technologies, including artificial intelligence. New technology-driven methods frees life science companies from historical constraints, enabling a deeper understanding of the course of disease, drug effectiveness, safety, and quality of life (QoL).

Watch this on-demand webinar to explore how innovation in study methods and technology not only address the mounting demands for evidence generation but also pave the way for achieving scientific relevance and operational efficiency for observational research.

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