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Harnessing the potential of machine learning and artificial intelligence for dementia research

Abstract Progress in dementia research has been limited, with substantial gaps in our knowledge of targets for prevention, mechanisms for disease progression, and disease-modifying treatments. The growing availability of multimodal data sets opens possibilities for the application of machine learnin...

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Hoofdauteurs: Janice M. Ranson, Magda Bucholc, Donald Lyall, Danielle Newby, Laura Winchester, Neil P. Oxtoby, Michele Veldsman, Timothy Rittman, Sarah Marzi, Nathan Skene, Ahmad Al Khleifat, Isabelle F. Foote, Vasiliki Orgeta, Andrey Kormilitzin, Ilianna Lourida, David J. Llewellyn
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: SpringerOpen 2023-02-01
Reeks:Brain Informatics
Onderwerpen:
Dementia
Artificial intelligence
Machine learning
Genetics
Drug discovery
Neuroimaging
Online toegang:https://doi.org/10.1186/s40708-022-00183-3
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