Identifying underlying patterns in Alzheimer's disease trajectory: a deep learning approach and Mendelian randomization analysisResearch in context

Summary: Background: Alzheimer's disease (AD) is a heterogeneously progressive neurodegeneration disorder with varied rates of deterioration, either between subjects or within different stages of a certain subject. Estimating the course of AD at early stages has treatment implications. We aimed to...

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Autors principals:	Fan Yi, Yaoyun Zhang, Jing Yuan, Ziyue Liu, Feifei Zhai, Ankai Hao, Fei Wu, Judith Somekh, Mor Peleg, Yi-Cheng Zhu, Zhengxing Huang
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2023-10-01
Col·lecció:	EClinicalMedicine
Matèries:	Alzheimer's disease Progression pattern Deep learning Time-to-conversion prediction Mendelian randomization
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2589537023004248
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