Predicting Abnormal Amyloid Burden: Can Machine Learning Become a Future Tool in Preventive Neurology?

Arman Eshaghi¹, Rachel F Buckley²

• ¹From the Department of Neuroinflammation, UCL Queen Square Institute of Neurology (A.E.), and Centre for Medical Image Computing, Department of Computer Science (A.E.), University College London, UK; Department of Neurology (R.F.B.), Massachusetts General Hospital and Harvard Medical School; Center for Alzheimer Research and Treatment, Department of Neurology (R.F.B.), Brigham and Women's Hospital, Boston, MA; and Melbourne School of Psychological Science (R.F.B.), University of Melbourne, Victoria, Australia. a.eshaghi@ucl.ac.uk.+1