A recent scientific study found an exciting new way to check if someone is likely to get Alzheimer's disease due to their genetics. Instead of current medical tests, which are often costly, complex, and invasive, this new method uses simple eye-tracking technology. This means diagnosing the risk could become much easier for patients and more affordable for healthcare systems. As you may know, there is currently no cure for Alzheimer's disease. This is a neurodegenerative disease that can affect a person’s memory, skills, as well as behavior. The best way to deal with this disease is by diagnosing it early, so that doctors can provide medicine and treatment options to delay the onset and manage the symptoms. However, it is not easy to spot the symptoms, so how can one know for certain whether they have Alzheimer's disease or not? How Can Eye Trackers Detect Alzheimer’s Disease This research, which involved scientists from the University of Strathclyde, looked closely at how well this new technique works. The technology is a specific system called ViewMind Atlas. It works by monitoring a person's tiny, subtle eye movements. Then, Artificial Intelligence (AI) software analyzes these movements. Since the eyes are closely linked to the brain, the way they move can tell doctors about the brain's health and function. The most important part is that this system can successfully identify the genetic risk in people years before they start showing any actual memory loss or other Alzheimer’s symptoms. How Accurate Is This Eye Tracking Test? To test the system, the researchers studied a group of people from extended families in Colombia who have a known genetic mutation that causes Alzheimer’s. The results were incredibly promising: For the family members who were already showing symptoms of the disease, the ViewMind Atlas test was 100% accurate in identifying them. More remarkably, for those who carried the gene but didn't have any symptoms yet (asymptomatic), the test was 96% accurate at correctly identifying their risk. The AI model essentially learned to look at the patterns of eye movement and use them to tell apart the people who had or were likely to get Alzheimer's from those who weren't. Can This Help Improve Early Diagnosis Rate? The research team found this eye-tracking test detects the disease earlier than standard cognitive tests, which often fail to flag a problem until it is well underway. The lead scientist, Professor Mario Parra Rodriguez, explained why this is such a big deal. He pointed out that today's common tests are "expensive and invasive," often requiring hospital procedures. The ViewMind Atlas system, however, helps doctors predict Alzheimer’s risk years in advance. This is key for doctors, who often struggle to figure out if a patient’s mild forgetfulness is just a normal part of getting older or a serious risk of dementia. This new tool could help them act quickly to treat or manage the risk instead of having to wait for the disease to fully develop.
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