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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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Principais autores: 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
Formato: Artigo
Idioma:Inglês
Publicado em: SpringerOpen 2023-02-01
Colecção:Brain Informatics
Assuntos:
Dementia
Artificial intelligence
Machine learning
Genetics
Drug discovery
Neuroimaging
Acesso em linha:https://doi.org/10.1186/s40708-022-00183-3
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