预测阿尔茨海默病临床试验中认知能力下降的机器学习方法

medRxiv - Neurology Pub Date : 2024-09-04 DOI:10.1101/2024.09.03.24312481

Bhargav T. Nallapu, Kellen K. Petersen, Tianchen Qian, Idris Demirsoy, Elham Ghanbarian, Christos Davatzikos, Richard B. Lipton, Ali Ezzati, Alzheimer’s Disease Neuroimaging Initiative

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引用次数: 0

摘要

背景在阿尔茨海默病（AD）治疗试验中，被随机分配到安慰剂组的患者中有 40% 在 80 周的随访中未出现认知能力下降。从阿尔茨海默病随机临床试验（RCT）的两臂中识别并排除这些患者，有可能提高检测治疗效果的能力。

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

Background 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.

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medRxiv - Neurology

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