Right now, there are no specific tests that can detect multiple sclerosis, a neurological disease. Instead, to diagnose the issue in patients, a series of tests are required to rule out other possible conditions, which involve blood tests, an MRI, and in some instances, a spinal tap (which can be a painful process).
However, thanks to the advancements made in technology, a company called C. Light Technologies, believe that they might have come up with a less painful and invasive way of monitoring multiple sclerosis disease progression and assessing drug efficacy and that is through an eye tracking system that relies on machine learning.
All patients need to do is fix their eyes on a target while a video records it. C. Light’s system observes the retina and can detect movement 1/100th the size of a human hair. This is versus current eye tracking systems that only observe pupil movement. The best part of this process is that no dilation of the pupil or eye drops are required, so patients can drive themselves to a clinic for testing and drive themselves home after, which wouldn’t be possible if they had their pupils dilated.
We’re not sure how accurate C. Light’s system is when it comes to monitoring, but the company does plan to eventually expand on this technology where hopefully in the future, it could also be used to track other conditions like Alzheimer’s, Parkinson’s, and ALS, just to name a few.