AI-Powered Eye-Tracking System for Monitoring Multiple Sclerosis Progression

For decades, eye movement has served as a vital tool for doctors to assess brain health, providing quick insights into conditions such as concussions and strokes. Now, C. Light Technologies, a neurotechnology and AI company emerging from the Berkeley Skydeck accelerator, is enhancing this diagnostic approach. They have developed advanced eye-tracking technology combined with machine learning to monitor Multiple Sclerosis (MS).

During the assessment, patients maintain their gaze on a target for just 10 seconds. The technology captures a video and employs machine learning algorithms to evaluate neurological impairments. Unlike conventional eye-tracking systems that focus on pupil movement, C. Light's innovation analyzes retinal movements, detecting shifts as small as 1/100th the width of a human hair. The process is non-invasive; patients do not need eye dilation or drops and can blink freely.

Looking ahead, C. Light aims to expand its capabilities to diagnose Alzheimer's disease, Parkinson's disease, Amyotrophic Lateral Sclerosis (ALS), and concussions. The current methods for diagnosing and monitoring these conditions are often costly and time-consuming, with delays potentially exacerbating challenges. C. Light's technology could empower healthcare providers to swiftly evaluate disease progression and medication effectiveness, allowing for timely treatment adjustments.

"The back of your eye is actually the front of your brain," stated Dr. Zachary Helft, co-founder of C. Light. "We harness AI alongside eye tracking to create a digital fingerprint of your neurological health with unmatched speed and sensitivity."