An estimated 6.5 million Americans live with Alzheimer’s disease. While memory loss, disorientation, and cognitive decline are the hallmark symptoms, researchers have long noted rare but remarkable “lucid intervals,” moments of clarity that punctuate the disease’s progression. Traditional research methods struggled to capture these episodes accurately, often relying on inconsistent caregiver reports and delayed data entry.
The Challenge
Studying cognitive fluctuations in Alzheimer’s patients required more accurate, real-time data capture and analysis. Legacy methods were limited, producing incomplete datasets that hindered predictive research and the development of targeted interventions.
The Solution
Valere collaborated with Johns Hopkins University to design and develop Ludicity, an AI-powered mobile application tailored for caregivers. The app enables real-time logging of patient cognitive states, integrates data into a centralized research platform, and applies AI and machine learning to identify patterns that could inform future treatments.
The platform was built with scalability in mind, ensuring adoption by caregivers nationwide while maintaining accessibility and compliance standards.
KPIs & Metrics
- Application adopted by caregivers across the United States
- Improved Alzheimer’s data collection accuracy and predictive capabilities
- Secured over $200k in research funding for continued development
- Achieved 90% caregiver satisfaction with the user interface
Impact
By transforming fragmented, delayed reporting into an AI-driven, real-time data ecosystem, Johns Hopkins researchers can now analyze lucid intervals with greater precision. This innovation not only advances the scientific understanding of Alzheimer’s but also opens the door to more timely and personalized interventions.
