A SUNY Canton researcher has received a $50,000 grant to market an advanced eye-tracking system that analyzes data to identify subtle signs of neurodegeneration linked to Alzheimer’s disease. Assistant Professor Mehdi Ghayoumi’s project aims to develop a non-invasive and cost-effective diagnostic tool using machine learning techniques.
The system captures complex patterns in eye movement data, which is affected by the brain damage caused by Alzheimer’s. However, doctors are hesitant to use these methods due to lack of standard testing procedures and reliable analysis tools. Ghayoumi’s project addresses this gap by creating a sophisticated eye-tracking system that uses artificial intelligence to provide insight.
The research team has conducted over 200 interviews with experts in the field to refine their approach. The technology is part of Ghayoumi’s MediMood proprietary software, which analyzes behavioral patterns and offers real-time feedback and personalized wellness recommendations. With NSF funding, the team will focus on validating the product’s commercial potential and exploring its adoption paths.
Ghayoumi believes that this technology can revolutionize Alzheimer’s disease diagnosis and treatment by offering a precise and non-invasive method. The goal is to improve access to early screening tools for cognitive and mental health conditions.
Source: https://www.canton.edu/news/2025