Caitlin Dawson | January 28, 2019 USC researchers found “hidden factors” in medical data that could improve Alzheimer’s disease prediction and lead to better outcomes. NEUROSCIENTIST PAUL THOMPSON (LEFT) WITH COMPUTER SCIENTIST GREG VER STEEG. (PHOTO/CAITLIN DAWSON.) Nearly 50 million people worldwide have Alzheimer’s disease or another form of dementia. While age is the greatest risk…Continue Reading USC Researchers Use AI to Detect Early Signs of Alzheimer’s