This research introduces a novel automated framework that leverages large language models to uncover connections between social determinants of health (SDoH) and Alzheimer's disease risk.

• Combines LLM capabilities with natural language processing to mine relevant literature
• Creates comprehensive knowledge graphs linking social factors to Alzheimer's disease mechanisms
• Addresses a critical gap in understanding non-medical risk factors that influence disease development
• Demonstrates how AI can accelerate discovery in areas with complex, multi-factorial relationships

This approach matters because it helps medical researchers systematically analyze social determinants that have been difficult to incorporate into Alzheimer's research, potentially leading to better prevention strategies and interventions.

Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs