嗅觉、导航和运动联合测量作为阿尔茨海默病临床前生物标志物的实验框架。

IF 2.8 Q2 NEUROSCIENCES
Journal of Alzheimer's disease reports Pub Date : 2024-12-23 eCollection Date: 2024-01-01 DOI:10.1177/25424823241307617
Katarina Biljman, Illana Gozes, Jacqueline Ck Lam, Victor Ok Li
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引用次数: 0

摘要

阐明阿尔茨海默病(AD)的前驱症状可以解决早期诊断的突出挑战。基于嗅觉和空间导航的内在联系,我们提出了一个新的实验框架来进行它们的联合研究。人工智能驱动的多模式研究将自我收集的嗅觉和运动数据与现有的大型临床数据集相结合,可能会促进高精度的早期临床筛查,从而促进针对神经退行性进展的及时干预。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An experimental framework for conjoint measures of olfaction, navigation, and motion as pre-clinical biomarkers of Alzheimer's disease.

Elucidating Alzheimer's disease (AD) prodromal symptoms can resolve the outstanding challenge of early diagnosis. Based on intrinsically related substrates of olfaction and spatial navigation, we propose a novel experimental framework for their conjoint study. Artificial intelligence-driven multimodal study combining self-collected olfactory and motion data with available big clinical datasets can potentially promote high-precision early clinical screenings to facilitate timely interventions targeting neurodegenerative progression.

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