Article

Simulate Scientific Reasoning with Multiple Large Language Models: An Application to Alzheimer’s Disease Combinatorial Therapy

2024-12-12

Abstract excerpt

<h4>Motivation</h4> This study aims to develop an AI-driven framework that leverages large language models (LLMs) to simulate scientific reasoning and peer review to predict efficacious combinatorial therapy when data-driven prediction is infeasible. <h4>Results</h4> Our proposed framework achieved a significantly higher accuracy (0.74) than traditional knowledge-based prediction (0.52). An ablation study highligh...

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Literature Corpus work: 4f98ec6f-29e5-5aa8-85a9-4385711d759e
DOI: 10.1101/2024.12.10.24318800

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