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This study presents a novel diagnostic model integrating cell-free DNA (cfDNA) fragmentomics with advanced machine learning algorithms to accurately detect early-stage pancreatic ductal adenocarcinoma (PDAC) from blood plasma. Validation across multiple cohorts demonstrated exceptional sensitivity and specificity, highlighting its potential as a transformative tool to address the critical need for early PDAC detection.
