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2013 Grants - Casanova
New Methods for Early Detection of Alzheimer's Disease
Ramon Casanova, Ph.D.
Wake Forest University Health Sciences
Winston-Salem, North Carolina
2013 New Investigator Research Grant
Scientists around the world are developing and studying many ways to diagnose Alzheimer's disease in its earliest stages and to predict who is at high risk for the disease. These methods include brain imaging, blood tests, genetic tests and other techniques. It is commonly perceived that the different methods are in competition, and that only the best methods will eventually be used in the practice of medicine.
Ramon Casanova, Ph.D., and colleagues are developing and studying a new approach to this problem. Instead of viewing diagnostic methods as being in competition, Dr. Casanova and colleagues are studying ways to incorporate information from each method into a diagnostic tool more powerful than any single method alone. They are using a similar approach to analyze data on genetic risk factors for Alzheimer's disease. Dr. Casanova and colleagues propose to use advanced methods related to probability and statistics, as well as machine learning, to develop tools that can analyze large amounts of data of different types, including imaging, blood tests, genetic tests and other tests. The goal of this work is to develop a tool that can use all of these types of data to diagnose early-stage Alzheimer's disease and to predict who is at high risk because of genetic risk factors.