“How do you find something when you don’t know what you’re looking for?”
Currently, memory tests are the most common method for diagnosing Alzheimer’s disease. The problem? Alzheimer’s can start affecting the mind decades before the first noticeable symptoms surface. To spot signs of the disease earlier, USC researchers are using new machine learning methods to study how clusters of certain biological traits influence a patient’s likelihood of developing Alzheimer’s. Click the link below to see how neuroscientist Paul Thompson and computer scientist Greg Ver Steeg are collaborating to improve Alzheimer’s detection.