A.I., Big Data Project Predicts Dementia 2 Years Before Symptoms Onset, Researchers Show

A.I., Big Data Project Predicts Dementia 2 Years Before Symptoms Onset, Researchers Show
New artificial intelligence (AI) research conducted at McGill University in Canada suggests that doctors may soon have the tools to predict an individual's likelihood of developing dementia several years before the onset of symptoms. Such extended prognostic capability would give future dementia patients and their families more time to plan strategies for living with the disorder and to arrange for treatment and care. Scientists at McGill's flagship mental health research center, the Douglas Mental Health University Institutes Translational Neuroimaging Laboratory, used artificial intelligence techniques and big data to develop an algorithm that can, with a single amyloid PET scan, detect dementia signatures in the brains of patients at risk of developing Alzheimer's disease two years before symptoms. Their findings were recently published in the journal Neurobiology of Aging, in a study titled "Identifying incipient dementia individuals using machine learning and amyloid imaging." The coauthors note in the study abstract that identifying individuals who will develop Alzheimer's dementia within time frames acceptable for clinical trials is an important challenge in designing studies for testing new disease-modifying therapies. And, while amyloid protein is Alzheimer's disease's core feature, neuronal degeneration biomarkers are the only ones believed to provide satisfactory reliable prediction of clinical progression within short time frames. In the study, the researchers propose a machine lea
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