Researchers developed an AI tool that identifies Alzheimer's disease by analyzing brain activity during sleep. This method offers a non-invasive alternative to traditional diagnostics. By spotting patterns in sleep architecture, the system detects cognitive decline before clinical symptoms appear. Practitioners can use these biomarkers to initiate early interventions and improve patient outcomes.