Generating high-quality real-world data in end-stage renal disease (ESRD) faces challenges of cost, privacy, and fragmented data sources. Traditional methods often result in limited insights, particularly for rare patient subgroups. Maxis Clinical Sciences’ advanced synthetic data approach creates statistically equivalent datasets that maintain critical correlations while eliminating privacy concerns. This innovative methodology enables comprehensive analysis of ESRD patient journeys, supporting regulatory submissions and market access strategies through privacy-compliant, cost-effective real-world evidence generation.
A leading pharmaceutical company developing innovative therapies for end-stage renal disease (ESRD), seeking to enhance real-world evidence generation to support regulatory submissions, payer discussions, and post-marketing surveillance while overcoming data privacy restrictions and fragmented data sources.
Biotechnology / Clinical Research / Nephrology
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