Article

A Machine Learning Approach to Predict Cognitive Decline in Alzheimer’s Disease Clinical Trials

2024-09-04

Abstract excerpt

<h4>Background</h4> Of persons randomized to the placebo arm of Alzheimer’s Disease (AD) treatment trials, 40% do not show cognitive decline over 80 weeks of follow-up. Identifying and excluding these individuals from both arms of randomized clinical trials (RCTs) of AD has the potential to increase power to detect treatment effects. <h4>Objectives</h4> We aimed to develop machine learning-based predictive model...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: bc2eca2b-6f70-52a9-ab1c-6b02c9371df9
DOI: 10.1101/2024.09.03.24312481

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A Machine Learning Approach to Predict Cognitive Decline in Alzheimer’s Disease Clinical TrialsDOI 10.1101/2024.09.03.24312481Read

Screening for early-stage Alzheimer’s disease using optimized feature sets and machine learningSemantic proximity Read

Predicting future cognitive impairment in preclinical Alzheimer’s disease using multimodal imaging: a multisite machine learning studySemantic proximity Read

Boosting power for clinical trials using classifiers based on multiple biomarkers.Semantic proximity Read

Machine Learning methods for predicting conversion from mild cognitive impairment to Alzheimer’s disease. A systematic review.Semantic proximity Read

Predicting 24-Month MCI-to-Alzheimer’s Conversion Using Routine Clinical Assessments Without Neuroimaging or Genetic TestingSemantic proximity Read

Development of Alzheimer’s Disease Risk Score for Future Primary Care: A White-Box ApproachSemantic proximity Read

Machine learning models for dementia risk prediction: Evidence from the Sydney Memory and Ageing StudySemantic proximity Read

Risk Score Stratification of Alzheimer’s Disease and Mild Cognitive Impairment using Deep LearningSemantic proximity Read

Knowledge-guided Deep Temporal Clustering for Alzheimer’s Disease Subtypes in Completed Clinical TrialsSemantic proximity Read

Predicting Progression & Cognitive Decline in Amyloid-Positive Patients with Alzheimer's DiseaseSemantic proximity Read

Identifying incident dementia by applying machine learning to a very large administrative claims datasetSemantic proximity Read

Scalable Markers for Early Cognitive Decline: Plasma p-tau217, Subjective Cognitive Concerns, and Digital Testing: Results from the A4/LEARN studiesSemantic proximity Read