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Updated: Jun 11, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Advances in the early detection of Alzheimer's disease
Peter J Nestor1, Philip Scheltens, John R Hodges
1University Neurology Unit, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 2QQ, UK.
Abstract:
The combination of an aging population and the promise, possibly in the near future, of disease-modifying therapies have made the characterization of the early stages of Alzheimer's disease (AD) a topic of major research interest. In this article we review recent progress in our understanding of the evolution of early AD with particular reference to the symptomatic pre-dementia stage designated 'mild cognitive impairment', emphasizing work on the early cognitive profile and associated neuroimaging studies.
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