Johns Hopkins University

• Scalability: Application adopted by caregivers across the United States.
• Improved Alzheimer’s data collection accuracy and predictive insights.
• Secured continuous funding from Johns Hopkins University for future enhancements.
• Achieved 90% caregiver satisfaction with the user interface.

An estimated 6.5 million Americans are living with Alzheimer’s disease. While memory loss, disorientation, and other symptoms worsen over time, patients often experience moments of stunning clarity, phenomena known as lucid intervals. These moments remain poorly understood due to the challenges of studying them in traditional clinical settings.

To address this, Lucidity, a mobile technology platform developed by Valere Labs in collaboration with Johns Hopkins University’s Kuchibhotla Lab, provides a transformative solution. This platform:

• Tracks Cognitive Changes: Reports cognitive fluctuations in Alzheimer’s patients to caregivers.
• Quantifies Lucid Intervals: Establishes a framework for understanding and predicting periods of higher cognition.

By integrating mobile or tablet-based cognitive tests and leveraging mobile sensors like microphones and cameras, Lucidity captures key health data multiple times per week. This individualized dataset is analyzed to identify environmental and internal factors influencing cognitive fluctuations.

Traditional methods for studying cognitive fluctuations in Alzheimer’s patients were limited due to:

• Lack of Scalable Tools: Cognitive tests required in-person administration, limiting widespread data collection.
• Data Gaps: Lucid intervals were difficult to capture and analyze in clinical settings.
• Complex Interfaces: Caregivers struggled with systems that were not user-friendly or tailored to Alzheimer’s needs.