Abstract
Biomarkers are indicators of a biological state and have a pivotal role in estimations of disease risk, early detection, assessment of progression and outcomes prediction. Studies of cancer biomarkers are published daily, some are well characterized, while others are of growing interest. Managing this flow of information is challenging for scientists and clinicians. We sought to validate an AI-driven literature interrogation method and a publicly available tool to help researchers identify these emergent biomarkers.
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