SEETrials: Leveraging large language models for safety and efficacy extraction in oncology clinical trials
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Background: 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... ...
