Article

SEETrials: Leveraging Large Language Models for Safety and Efficacy Extraction in Oncology Clinical Trials

2024-01-20

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Initial insights into oncology clinical trial outcomes are often gleaned manually from conference abstracts. We aimed to develop an automated system to extract safety and efficacy information from study abstracts with high precision and fine granularity, transforming them into computable data for timely clinical decision-making. <h4>Methods</h4> We collected clinical trial...

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Literature Corpus work: b6829252-42c6-5cf0-b3d7-b108d9a0cfce
DOI: 10.1101/2024.01.18.24301502

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