AI and simple tests could revolutionize Alzheimer's detection

This study aims to find better, cheaper ways to detect Alzheimer's disease early in people who have memory complaints but still function normally. Researchers will collect blood, brain wave, and speech data, along with genetic information, and use machine learning to build a predictive model. The goal is to identify who is at risk for Alzheimer's without relying on expensive or invasive tests. 250 adults with subjective cognitive decline will be followed for two years.