How Wearable Tech Detects Early Signs of Alzheimers

This episode unpacks a groundbreaking Johns Hopkins study published in July 2025 that used smartwatch data from over 10,000 participants to predict Alzheimer's disease up to seven years before clinical diagnosis. We explore the 12 key behavioral markers—including gait speed, sleep variability, and heart rate patterns—that a machine learning model analyzed to achieve 85% accuracy. Lucas and Luna discuss the implications for early intervention, the ethical questions around predictive health data, and the startups racing to commercialize these findings. Could your smartwatch become a cognitive health screening tool? We examine the science, the limitations, and what it means for the future of dementia prevention. #WearableTech #Smartwatch #Alzheimers #CognitiveHealth #EarlyDetection #DigitalBiomarkers #MachineLearning #JohnsHopkins #Neuroscience #HealthTech #Research #FitnessTracker #Podcast #FexingoBusiness #BusinessPodcast #Technology #Health #Wellness Keep every episode free: buymeacoffee.com/fexingo