Biljman Katarina, Gozes Illana, Lam Jacqueline Ck, Li Victor Ok
Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China.
Elton Laboratory for Neuroendocrinology, Department of Human Molecular Genetics and Biochemistry, Faculty of Medical and Health Sciences, The Adams Super Center for Brain Studies and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
J Alzheimers Dis Rep. 2024 Dec 23;8(1):1722-1744. doi: 10.1177/25424823241307617. eCollection 2024.
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.
阐明阿尔茨海默病(AD)的前驱症状可以解决早期诊断这一突出挑战。基于嗅觉和空间导航的内在相关底物,我们提出了一个用于联合研究它们的新实验框架。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的人工智能驱动的多模态研究,有可能促进高精度的早期临床筛查,以便针对神经退行性进展及时进行干预。