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Updated: Jan 17, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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数字双胞胎支持轻度认知障碍的跨模式和跨中心分类

Lorenzo Gaetano Amato1,2, Roberta Minino3, Michael Lassi1,2

  • 1The BioRobotics Institute, Sant'Anna School of Advanced Studies, Pontedera, Italy.

Communications medicine
|January 15, 2026
PubMed
概括

数字生物标志物克服了痴呆症诊断的神经记录的变化. 这种计算方法使轻度认知障碍 (MCI) 和健康个体的准确交叉中心分类成为可能,提高了诊断能力.

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