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Recent evidence shows significant gains: up to 65% improvement in patient recruitment efficiency 3050% faster trial timelines up to 40% reduction in development costs predictive models reaching ~85% accuracy These results are driven by practical applications, including patient identification from clinical data, predictive enrollment modeling, protocol optimization, and real-time monitoring through digital tools
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