A Transcriptomics-Based Machine Learning Model Discriminating Mild Cognitive Impairment and the Prediction of Conversion to Alzheimer’s Disease

A Transcriptomics-Based Machine Learning Model Discriminating Mild Cognitive Impairment and the Prediction of Conversion to Alzheimer’s Disease

The clinical spectrum of Alzheimer’s disease (AD) ranges dynamically from asymptomatic and mild cognitive impairment (MCI) to mild, moderate, or severe AD. Although a few disease-modifying treatments, such as lecanemab and donanemab, have been developed, current therapies can only delay disease prog...

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Bibliographic Details
Main Authors: Min-Koo Park, Jinhyun Ahn, Jin-Muk Lim, Minsoo Han, Ji-Won Lee, Jeong-Chan Lee, Sung-Joo Hwang, Keun-Cheol Kim
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Cells
Subjects:
transcriptomics
machine learning
mild cognitive impairment (MCI)
Alzheimer’s disease (AD)
MCI-to-AD conversion
gene expression
Online Access:https://www.mdpi.com/2073-4409/13/22/1920
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https://www.mdpi.com/2073-4409/13/22/1920

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