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Article type: Article Commentary
Authors: Przybyszewski, Andrzej W.a; b; * | Chudzik, Artura
Affiliations: [a] Faculty of Computer Science, Polish-Japanese Academy of Information Technology, Warsaw, Poland | [b] Department of Neurology, UMass Chan Medical School, Worcester, MA, USA
Correspondence: [*] Correspondence to: Andrzej W. Przybyszewski, Faculty of Computer Science, Polish-Japanese Academy of Information Technology, 86 Koszykowa St., 02-008 Warsaw, Poland. Tel.: +48 608264992; E-mail: przy@pjwstk.edu.pl.
Abstract: There has been a lot of buzz surrounding new drug discoveries that claim to cure Alzheimer’s disease (AD). However, it is crucial to keep in mind that the changes in the brain linked to AD start occurring 20–30 years before the first symptoms arise. By the time symptoms become apparent, many areas of the brain have already been affected. That’s why experts are focusing on identifying the onset of the neurodegeneration processes to prevent or cure AD effectively. Scientists use biomarkers and machine learning methods to analyze AD progressions and estimate them “backward” in time to discover the beginning of the disease.
Keywords: Alzheimer’s disease, Clinical Dementia Rating SUM of Boxes, cognitive tests, multi-granular computing, rough set theory
DOI: 10.3233/JAD-240231
Journal: Journal of Alzheimer's Disease, vol. 99, no. 4, pp. 1221-1223, 2024
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