Quantifying Neurocognitive Decline: A Machine Learning Approach to Alzheimer’s Staging
A machine learning framework that quantifies neurocognitive decline through gamified diagnostics and high-frequency telemetry.
Quantifying Neurocognitive Decline is designed as a Free and Open Source Software (FOSS) project to encourage collaboration, transparency, and innovation in healthcare technology. By making the platform open source, developers, researchers, and healthcare professionals can contribute to improving algorithms, enhancing cognitive assessment tools, and expanding the system’s capabilities.
The project allows the community to build new cognitive games, improve machine learning models, and integrate additional data sources such as speech analysis or wearable device data. Open-source development also ensures transparency in AI-driven healthcare systems, which is important for trust, validation, and ethical use in medical applications.
Through community contributions, this platform can evolve into a scalable and accessible tool for early detection and monitoring of neurocognitive disorders, helping researchers and clinicians worldwide develop better diagnostic and care strategies for Alzheimer’s disease.