Digital Phenotypes of Aging
Research project on using wearable sensors and machine learning to detect early signs of cognitive decline
Our mission is to harness wearable technology and AI to detect early cognitive changes, enabling timely interventions that support healthy aging.
What is the study about?
This international study, in collaboration with the University of Zurich, explores how everyday behaviours—such as where people go, their social and physical activity levels, and how they walk—can reveal early signs of cognitive decline. Using GPS data, smartphone usage patterns, accelerometer sensors, and smart shoes, we monitor real-world activity over time. With the help of machine learning, we aim to detect subtle changes in brain health early and support timely, personalized approaches to healthy aging.
Our Team
Principal Investigators: Drs. Nicolas Langer (UZH), Sayeh Bayat (UCalgary), Valerie Treyer (Univ. Hospital Zurich), Clemens Stachl (University of St. Gallen)
UCalgary Study Team:
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Mackenzie Wallich (MSc student, UCalgary)