Precision Recruitment Modeling for Clinical Trial Acceleration

This presentation covers key aspects of model development and deployment in predictive analytics, focusing on its transparent design, real-world applicability using routinely collected data, and validation through NHANES and external datasets. Performance metrics such as AUROC and AUPRC, alongside operational benefits like streamlined screening and increased patient eligibility, underscore its efficiency. Designed for scalability, it employs a reusable modular framework with ongoing pilot...