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c-Diadem: a constrained dual-input deep learning model to identify novel biomarkers in Alzheimer’s disease

BACKGROUND: Alzheimer’s disease (AD) is an incurable, debilitating neurodegenerative disorder. Current biomarkers for AD diagnosis require expensive neuroimaging or invasive cerebrospinal fluid sampling, thus precluding early detection. Blood-based biomarker discovery in Alzheimer’s can facilitate l...

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Detalles Bibliográficos
Autores principales:	Jemimah, Sherlyn, AlShehhi, Aamna
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571239/ https://www.ncbi.nlm.nih.gov/pubmed/37833700 http://dx.doi.org/10.1186/s12920-023-01675-9

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