Artificial intelligence and open science in discovery of disease-modifying medicines for Alzheimer's disease.

TitleArtificial intelligence and open science in discovery of disease-modifying medicines for Alzheimer's disease.
Publication TypeJournal Article
Year of Publication2024
AuthorsCheng F, Wang F, Tang J, Zhou Y, Fu Z, Zhang P, Haines JL, Leverenz JB, Gan L, Hu J, Rosen-Zvi M, Pieper AA, Cummings J
JournalCell Rep Med
Volume5
Issue2
Pagination101379
Date Published2024 Feb 20
ISSN2666-3791
KeywordsAlzheimer Disease, Artificial Intelligence, Drug Development, Drug Discovery, Electronic Health Records, Humans
Abstract

The high failure rate of clinical trials in Alzheimer's disease (AD) and AD-related dementia (ADRD) is due to a lack of understanding of the pathophysiology of disease, and this deficit may be addressed by applying artificial intelligence (AI) to "big data" to rapidly and effectively expand therapeutic development efforts. Recent accelerations in computing power and availability of big data, including electronic health records and multi-omics profiles, have converged to provide opportunities for scientific discovery and treatment development. Here, we review the potential utility of applying AI approaches to big data for discovery of disease-modifying medicines for AD/ADRD. We illustrate how AI tools can be applied to the AD/ADRD drug development pipeline through collaborative efforts among neurologists, gerontologists, geneticists, pharmacologists, medicinal chemists, and computational scientists. AI and open data science expedite drug discovery and development of disease-modifying therapeutics for AD/ADRD and other neurodegenerative diseases.

DOI10.1016/j.xcrm.2023.101379
Alternate JournalCell Rep Med
PubMed ID38382465
PubMed Central IDPMC10897520