USC Researchers Use AI to Detect Early Signs of Alzheimer's - USC Viterbi School of Engineering

Neuroscientist Paul Thompson (left) with computer scientist Greg Ver Steeg. Nearly 50 million people worldwide have Alzheimer's disease or another form of dementia. While age is the greatest risk factor for developing the disease, researchers believe most Alzheimer's cases occur as a result of complex interactions among genes and other factors. But those factors and the role they play are not known--yet. In a new study, USC researchers used machine learning to identify potential blood-based markers of Alzheimer's disease that could help with earlier diagnosis and lead to non-invasive ways of tracking the progress of the disease in patients.