How is Big Data reshaping preclinical aging research?

Fernandez, Maria Emilia; Martinez-Romero, Jorge; Aon, Miguel A; Bernier, Michel; Price, Nathan L; de Cabo, Rafael

Fernandez, Maria Emilia; Martinez-Romero, Jorge; Aon, Miguel A; Bernier, Michel; Price, Nathan L; de Cabo, Rafael.

Afiliación

Fernandez ME; Experimental Gerontology Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Martinez-Romero J; Experimental Gerontology Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Aon MA; Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Bernier M; Experimental Gerontology Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Price NL; Laboratory of Cardiovascular Science, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
de Cabo R; Experimental Gerontology Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.

Lab Anim (NY) ; 52(12): 289-314, 2023 Dec.

Article en En | MEDLINE | ID: mdl-38017182

Asunto(s)

Inteligencia Artificial; Macrodatos; Animales; Gerociencia; Biología Computacional/métodos; Modelos Animales

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Macrodatos Límite: Animals Idioma: En Revista: Lab Anim (NY) Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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