Article

Patient2Sentence: Semantic Compression of Clinical Trial Eligibility Using Large Language Models

2025-11-17

Abstract excerpt

Clinical decision-making generates vast unstructured data that remain underexploited for trial recruitment. We present Patient2Sentence (P2S), a framework that transforms electronic health records into language-based representations to enable automated eligibility screening for oncology trials. Using synthetic patient records derived from three completed breast cancer studies (KATHERINE, MONARCH, and OLYMPIA), we...

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Literature Corpus work: fe3e54ee-a688-5063-b5bc-5c82d33a7a52
DOI: 10.1101/2025.11.14.25340276

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