Predicting amyloid-β levels in amnestic mild cognitive impairment using machine learning techniques

A Ezzati, DJ Harvey, C Habeck… - Journal of …, 2020 - content.iospress.com
Background: Amyloid-ß positivity (Aß+) 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 …

Machine learning for the prediction of amyloid positivity in amnestic mild cognitive impairment

SH Kang, BK Cheon, JS Kim, H Jang… - Journal of …, 2021 - content.iospress.com
Background: Amyloid-ß (Aß) evaluation in amnestic mild cognitive impairment (aMCI)
patients is important for predicting conversion to Alzheimer's disease. However, Aß …

Machine learning methods to predict amyloid positivity using domain scores from cognitive tests

G Shan, C Bernick, JZK Caldwell, A Ritter - Scientific Reports, 2021 - nature.com
Amyloid-β (A β) is the target in many clinical trials for Alzheimer's disease (AD). Preclinical
AD patients are heterogeneous with regards to different backgrounds and diagnosis …

A nomogram for predicting amyloid PET positivity in amnestic mild cognitive impairment

SE Kim, S Woo, SW Kim, J Chin, HJ Kim… - Journal of …, 2018 - content.iospress.com
Background: Most clinical trials focus on amyloid-β positive (Aβ+) amnestic mild cognitive
impairment (aMCI), but screening failures are high because only a half of patients with aMCI …

Multi-method investigation of factors influencing amyloid onset and impairment in three cohorts

TJ Betthauser, M Bilgel, RL Koscik, BM Jedynak, Y An… - Brain, 2022 - academic.oup.com
Alzheimer's disease biomarkers are becoming increasingly important for characterizing the
longitudinal course of disease, predicting the timing of clinical and cognitive symptoms, and …

[HTML][HTML] Assessing risk for preclinical β-amyloid pathology with APOE, cognitive, and demographic information

PS Insel, S Palmqvist, RS Mackin, RL Nosheny… - Alzheimer's & Dementia …, 2016 - Elsevier
Abstract Introduction Clinical trials in Alzheimer's disease are aimed at early stages of
disease, including preclinical Alzheimer's disease. The high cost and time required to …

The accuracy and robustness of plasma biomarker models for amyloid PET positivity

AL Benedet, WS Brum, O Hansson… - Alzheimer's research & …, 2022 - Springer
Abstract Background Plasma biomarkers for Alzheimer's disease (AD) have broad potential
as screening tools in primary care and disease-modifying trials. Detecting elevated amyloid …

[HTML][HTML] Added value of amyloid PET in individualized risk predictions for MCI patients

IS van Maurik, LM van der Kall, A de Wilde… - Alzheimer's & Dementia …, 2019 - Elsevier
Introduction To construct a prognostic model based on amyloid positron emission
tomography (PET) to predict clinical progression in individual patients with mild cognitive …

Prediction of amyloid-β pathology in amnestic mild cognitive impairment with neuropsychological tests

A Bahar-Fuchs, V Villemagne, K Ong… - Journal of …, 2013 - content.iospress.com
Assessment of disease biomarkers, particularly thein vivoassessment of amyloid-ß (Aß)
burden with positron emission tomography (PET), is gradually becoming central to the …

Detecting amyloid positivity in elderly with increased risk of cognitive decline

T Pekkala, A Hall, T Ngandu, M Gils… - Frontiers in Aging …, 2020 - frontiersin.org
The importance of early interventions in Alzheimer's disease (AD) emphasizes the need to
accurately and efficiently identify at-risk individuals. Although many dementia prediction …