An AI-driven Multi-Agent System to Accelerate Biomarker Discovery
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A robust machine learning pipeline designed for biomarker discovery and patient stratification - application in Alzheimer’s disease (AD).
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A domain-specific knowledge graph centered on AD biomarkers, generated through literature mining using large language models (LLMs).
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An AI multi-agent framework that systematically integrates internal experimental data, omics analyses, clinical trial information, and scientific literature to identify novel biomarkers, facilitating optimized clinical trial design.