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Updated: Aug 31, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
New Trends in Cognitive Aging and Mild Cognitive Impairment
David Facal1, Carlos Spuch2, Sonia Valladares-Rodriguez3
1Departamento de Psicoloxía Evolutiva e da Educación, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain.
This editorial reviews lessons learned and open questions about the transition from healthy cognitive aging to dementia. It explores the spectrum of cognitive decline and neurodegenerative diseases.
Area of Science:
- Neuroscience
- Gerontology
- Cognitive Science
Background:
- The transition from healthy cognitive aging to dementia is a critical area of research.
- Understanding this continuum is essential for early detection and intervention.
Discussion:
- Lessons learned in studying cognitive aging and dementia.
- Open questions regarding the continuum between normal aging and neurodegeneration.
- Exploring the spectrum of cognitive decline.
Key Insights:
- Highlighting key findings from recent research in cognitive aging.
- Identifying critical knowledge gaps in understanding dementia progression.
- Emphasizing the importance of a continuum approach.
Outlook:
- Future research directions for cognitive aging and dementia.
- Potential strategies for early diagnosis and prevention of dementia.
- Advancing the understanding of neurodegenerative disease trajectories.
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