Advancing Predictive Models for Early Detection of Alzheimer's Disease: Integrating Speech Characteristics and Cardiovascular Risk Factors for Enhanced ATN Biomarker Status Prediction

Abstract

Background: Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive cognitive decline and memory impairment. It presents a significant healthcare challenge, particularly in aging populations. Early diagnosis is essential for timely intervention, which can slow disease progression and improve outcomes.