C. Light Technologies
revolutionary eye tracking technology for neurological health
in collaboration with Arjun bidesi, chiaohan chuang, younes sherkat, and Dr. austin roorda from University of california, berkeley, and christy sheehy and zach helft from C. Light technologies
Problem Statement
The burden of central nervous system conditions costs the US healthcare system upwards of $800B annually, $28B for multiple sclerosis (MS). Specifically, delayed MS diagnoses and unpredictable disease progression create poor patient outcomes and inefficiencies across the healthcare system. There are a lack of objective, cost-effective, and non-invasive tools capable of monitoring disease progression and tracking treatment efficacy.
(From https://www.clighttechnologies.com/)
Due to an ongoing non-disclosure agreement, a limited amount of information can be shared currently. Refer to the website for previously publicly disclosed information on the project.
Work Done and Proposed Solution
The back of the eye is the front of the brain. C. Light’s machine learning algorithms and instrument could efficiently, objectively, and non-invasively aid in the prognosis and monitoring of multiple sclerosis (MS) by measuring neurological activity through imaging the retina. It extracts eye motion at the cellular level - over 120x more accurately than any pupil-tracking device on the market. Eye motion is then summarized within a TSLO readout report, providing actionable information to the patient care team.
Through our novel eye motion data, C. Light will provide value throughout the care chain of MS: better outcomes and peace-of-mind for patients, treatment feedback and revenue for physicians, reduced overall healthcare costs for payers, and fast, objective outcomes measurements for therapeutic developers. Future applications of the core technology can extend to Alzheimer’s, Parkinson’s, ALS, and concussions.
(From https://www.clighttechnologies.com/)
Due to an ongoing non-disclosure agreement, a limited amount of information can be shared currently. Refer to the website for previously publicly disclosed information on the project.
Outcome and Future Work
C. Light Technologies received $2.5M in seed funding to improve upon existing neural network analytics to predict multiple sclerosis (MS) disease progression, as well as to advance the development of their proprietary retinal eye tracking device that uses high resolution retinal videos to map eye motion. Funding will enable the company to procure a design and manufacturing firm to turn their working prototype into the finalized commercial product and ultimately through 510(k) FDA clearance.Due to an ongoing non-disclosure agreement, a limited amount of information can be shared currently. Refer to the website for previously publicly disclosed information on the project.
Creative Ventures led the round with participation from Yamaha Motor Ventures, Wisconsin Investment Partners, Berkeley Skydeck Fund, the Band of Angels, EGB Capital, Monde Green Ventures, Puck Ventures, and the Vectors Angel Group. The new round brings the company's total funding to date to more than $3.25 million, which includes over $475K in grant funding from the National Institutes of Health.
Due to an ongoing non-disclosure agreement, a limited amount of information can be shared currently. Refer to the website for previously publicly disclosed information on the project.