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Deep learning for subtyping the Alzheimer's disease spectrum.
Romano, Michael F; Kolachalama, Vijaya B.
Afiliação
  • Romano MF; Department of Medicine, Boston University School of Medicine, Boston, MA, USA; Department of Medicine, St. Elizabeth's Medical Center, Brighton, MA, USA; Department of Medicine, Tufts University School of Medicine, Boston, MA, USA.
  • Kolachalama VB; Department of Medicine, Boston University School of Medicine, Boston, MA, USA; Department of Computer Science and Faculty of Computing & Data Sciences, Boston University, Boston, MA, USA. Electronic address: vkola@bu.edu.
Trends Mol Med ; 28(2): 81-83, 2022 02.
Article em En | MEDLINE | ID: mdl-34996710
ABSTRACT
In a recent article from Cell Reports Medicine, Kwak et al. generate novel insights about subtyping cognitively impaired individuals based on structural imaging. Quantifying heterogeneity in Alzheimer's disease via subtyping could help us harness new disease-modifying therapies and improve patient care by providing a more targeted approach.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença de Alzheimer / Aprendizado Profundo Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença de Alzheimer / Aprendizado Profundo Idioma: En Ano de publicação: 2022 Tipo de documento: Article