Favour Nerrise is a Stanford neuroengineer working on AI tools and wearable technologies, including smartwatches, to detect early signs of brain disorders such as Parkinson's and Alzheimer's. This innovative approach aims to provide continuous monitoring of brain and physiological health, especially for high-risk individuals. By combining neuroscience, wearable tech, and explainable AI, the project seeks to uncover health indicators often missed by clinicians, making healthcare more personalized and equitable. The lecture will take place at Wave Collective on August 28, 2025, at 7 pm.
Favour Nerrise, a Stanford neuroengineer, is developing AI tools that leverage smartwatches and other devices to detect early signs of brain disorders like Parkinson's and Alzheimer's.
The aim is to provide low-cost, non-invasive, and continuous monitoring of brain and mobility health, particularly targeting individuals at highest risk.
This work integrates explainable AI and wearable technology to understand health indicators that clinicians might overlook, facilitating personalized and proactive healthcare.
By detecting brain disorders early, the implementation of these AI tools could significantly reshape health intervention strategies and improve overall health equity.
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