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Identification of novel diagnostic panel for mild cognitive impairment and Alzheimer’s disease: findings based on urine proteomics and machine learning

Crossref DOI link: https://doi.org/10.1186/s13195-023-01324-4

Published Online: 2023-11-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wang, Yuye

Sun, Yu

Wang, Yu

Jia, Shuhong

Qiao, Yanan

Zhou, Zhi

Shao, Wen

Zhang, Xiangfei

Guo, Jing

Zhang, Bin

Niu, Xiaoqian

Wang, Yi

Peng, Dantao
Funding

Funding for this research was provided by:

National Key Research and Development Program of China (2018YFA0507503, 2022YFC2010103)
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Text and Data Mining valid from 2023-11-04

Version of Record valid from 2023-11-04
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Article History

Received: 18 April 2023

Accepted: 4 October 2023

First Online: 4 November 2023

Declarations

:

: The study protocol was approved by the China-Japan Friendship Hospital ethics committee and institutions (Ethics ID: 2020–31-Y06-32). Consent forms were obtained from all participants. The research was carried out in accordance with the Code of Ethics of the World Medical Association (Declaration of Helsinki).

: Not applicable.

: The authors declare no competing interests.

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