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Language performance as a predictor of future Alzheimer’s disease

Language sample analysis may help predict future Alzheimer’s disease in people who are cognitively normal, suggesting that language patterns may be an early, detectable biomarker for the disease. Published in EClinicalMedicine, researchers at IBM Thomas J. Watson Research Center and Pfizer Worldwide Research and Development analyzed written language samples and were able to predict Alzheimer’s disease more than seven years before the diagnosis.




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