Health Digital Twin is a digital health platform that uses mobile sensing and machine learning to support early screening and clinical assessment of neurodegenerative diseases. Focused on Parkinson’s and Alzheimer’s disease, the system integrates multimodal inputs—such as EEG signals, motion data, speech analysis, cognitive tasks, and digital drawing—into cloud-based analytics to generate objective and scalable brain health insights.

For Parkinson’s disease, Neurolens quantifies motor and cognitive symptoms across five clinically defined severity levels, achieving high diagnostic accuracy through non-invasive, real-time monitoring. For Alzheimer’s disease, the platform delivers literacy-independent screening, using smartphone-based assessments that eliminate reliance on reading or writing, enabling deployment in low-resource settings.

By combining behavioral biomarkers with cloud AI, Health Digital Twin provides a cost-effective, culturally adaptable solution that supports early detection, continuous monitoring, and equitable access to brain health evaluation around the world.