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Journal article

Diagnostic AI Modeling and Pseudo Time Series Profiling of AD and PD Based on Individualized Serum Proteome Data

Abstract:

Background: Parkinson’s disease (PD), Alzheimer’s disease (AD) are common neurodegenerative disease, while mild cognitive impairment (MCI) may be happened in the early stage of AD or PD. Blood biomarkers are considered to be less invasive, less cost and more convenient, and there is tremendous potential for the diagnosis and prediction of neurodegenerative diseases. As a recently mentioned field, artificial intelligence (AI) is often applied in biology and shows excellent results. In this art...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3389/fbinf.2021.764497

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Role:
Author
ORCID:
0000-0002-2478-356X
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Role:
Author
ORCID:
0000-0002-6028-0185
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0003-2212-0268


Publisher:
Frontiers Media
Journal:
Frontiers in Bioinformatics More from this journal
Volume:
1
Pages:
764497-764497
Publication date:
2021-10-22
DOI:
EISSN:
2673-7647
ISSN:
2673-7647


Language:
English
Keywords:
Pubs id:
2046557
UUID:
uuid_db0c795d-e0f0-4c34-b03e-8bc4d63a2223
Local pid:
pubs:2046557
Source identifiers:
W4242271877
Deposit date:
2025-11-20
ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.

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