BACKGROUND Clinical trials of single drugs for the treatment of Alzheimer Disease (AD) have been notoriously unsuccessful. Combinations of repurposed drugs could provide effective treatments for AD. The challenge is to identify potentially potent combinations.

中文翻译：

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使用机器学习预测抗阿尔茨海默病药物组合的效力

背景技术众所周知，用于治疗阿尔茨海默氏病（AD）的单一药物的临床试验并不成功。改用药物的组合可以为AD提供有效的治疗方法。挑战在于确定潜在的有效组合。