ME-Projects

This project aims to leverage advanced artificial intelligence to integrate sleep, language, and neuroimaging biomarkers into a unified diagnostic framework for Alzheimer's disease. By combining real-world data collection from wearable devices with synthetic data generation, the research seeks to create early, noninvasive, and scalable diagnostic tools. Ultimately, the proposed work intends to address global health disparities by developing equitable and actionable software solutions for personalized patient care.