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Computational Methods Applied to Alzheimer’s Disease
Published:
19 April 2023
by MDPI
in MOL2NET'23, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 9th ed.
congress USEDAT.NET: USA-Europe Data Analysis Trends & Complex Networks Mini Congress Series, Coruña, SP-Miami, USA, 2023
https://doi.org/10.3390/mol2net-09-14350
(registering DOI)
Abstract:
Alzheimer's disease (AD), the most common type of dementia in older people, causes
neurological problems associated with memory and thinking. Different computational analysis could
act as useful tools in gaining more information about the development of the disease or potential target
drugs. That is why different computational methods will be reviewed.
Keywords: Computational Science; Alzheimer's Disease; AD prediction; Machine Learning
Comments on this paper
Benjamin Villa
5 January 2024
Dear Author,
Happy 2024!
What are possible advantages and disadvantages of using computational methods on the development of AD?
Happy 2024!
What are possible advantages and disadvantages of using computational methods on the development of AD?
