图神经网络从584例脑捐赠者单细胞数据解析阿尔茨海默病表型
AI-based characterization of Alzheimer’s disease phenotypes from population-scale single-cell data
用图神经网络跑584名脑捐赠者的单细胞数据，把阿尔茨海默病里和认知韧性、抑郁相关的细胞模式都找出来了，做脑科学或单细胞分析的可以看看方法。
Nature Medicine 于9月23日在线发表一项基于图神经网络的研究，分析来自584名脑捐赠者的单细胞数据。研究比较阿尔茨海默病患者与对照样本的细胞差异模式，并识别出与认知韧性相关的特征。团队还定位了与 AD 患者抑郁症发生相关的细胞模式。
AI-based characterization of Alzheimer’s disease phenotypes from population-scale single-cell data
Nature Medicine, Published online: 23 September 2026; doi:10.1038/s41591-025-04128-1 Based on single-cell data from a cohort of 584 brain donors including patients with Alzheimer’s disease (AD) and controls, a graph neural network is used to investigate differential patterns between disease and control, to identify those related to cognitive resilience and to insurgence of depression in patients with AD.