AIMC Topic: Amyloid beta-Peptides

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Machine Learning for the Prediction of Amyloid Positivity in Amnestic Mild Cognitive Impairment.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: Amyloid-β (Aβ) evaluation in amnestic mild cognitive impairment (aMCI) patients is important for predicting conversion to Alzheimer's disease. However, Aβ evaluation through Aβ positron emission tomography (PET) is limited due to high cos...
Humans Machine Learning Algorithms Female Reproducibility of Results Risk Factors Aged Aged, 80 and over Male Middle Aged Disease Progression Cognitive Dysfunction Cohort Studies Magnetic Resonance Imaging Predictive Value of Tests Area Under Curve Amyloid beta-Peptides Positron-Emission Tomography Hippocampus Cerebral Cortex Neuropsychological Tests Apolipoproteins E Mental Recall
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Predicting Amyloid-β Levels in Amnestic Mild Cognitive Impairment Using Machine Learning Techniques.

Journal of Alzheimer's disease : JAD Jan 1, 2020
BACKGROUND: Amyloid-β positivity (Aβ+) based on PET imaging is part of the enrollment criteria for many of the clinical trials of Alzheimer's disease (AD), particularly in trials for amyloid-targeted therapy. Predicting Aβ positivity prior to PET ima...
Humans Machine Learning Biomarkers Brain Female Aged Male Middle Aged Cognitive Dysfunction Magnetic Resonance Imaging Amyloid beta-Peptides Alleles Positron-Emission Tomography Neuroimaging Gene Frequency Neuropsychological Tests Apolipoprotein E4
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