The overarching goal of this research protocol is to acquire eye-tracking, cognitive, and disease-severity metrics in MS patients to train machine learning algorithms that will support the development and performance assessment of a sensitive and non-invasive eye-tracking software application. The training of our machine learning classifying algorithms to identify which eye-tracking metrics-or combination thereof-can serve as reliable markers of MS disease severity and cognitive status.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Predictive power of eye-movement biomarkers (EMBs) for MS severity in relationship to Expanded Disability Status Scale (EDSS)
Timeframe: Day 1