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Researchers from Carlos III University of Madrid and Leganés University Hospital have developed an AI-based method to analyze brain electrical activity during sleep, facilitating early diagnosis of Alzheimer's disease. The study, published in the journal "GeroScience," demonstrated that analyzing nighttime brain waves can identify early neural changes and link them to disease-related proteins, such as beta-amyloid and phosphorylated tau. The technique can accurately distinguish between healthy individuals and Alzheimer's patients and may help in the future with less expensive, at-home tests for early detection, enabling timely intervention. The study also highlights the importance of multidisciplinary collaboration to support therapeutic development.
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