Article

Bridging Data Gaps in Oncology: Large Language Models and Collaborative Filtering for Cancer Treatment Recommendations

2025-04-07

Abstract excerpt

<h4>Background</h4> Patients with rare cancers face substantial challenges due to limited evidence-based treatment options, resulting from sparse clinical trials. Advances in large language models (LLMs) and recommendation algorithms offer new opportunities to utilize all clinical trial information to improve clinical decisions. <h4>Methods</h4> We used LLM to systematically extract and standardize more than 100...

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Literature Corpus work: 925d7fdb-9b63-5d55-a945-9871141645b0
DOI: 10.1101/2025.04.07.25325243

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