Your browser doesn't support javascript.
loading
Artificial intelligence for aging and longevity research: Recent advances and perspectives.
Zhavoronkov, Alex; Mamoshina, Polina; Vanhaelen, Quentin; Scheibye-Knudsen, Morten; Moskalev, Alexey; Aliper, Alex.
Afiliação
  • Zhavoronkov A; Pharmaceutical Artificial Intelligence Department, Insilico Medicine, Inc., Baltimore, MD, United States; Biogerontology Research Foundation, London, United Kingdom; Buck Institute for Research on Aging, Novato, CA, United States.
  • Mamoshina P; Pharmaceutical Artificial Intelligence Department, Insilico Medicine, Inc., Baltimore, MD, United States; Department of Computer Science, University of Oxford, Oxford, United Kingdom.
  • Vanhaelen Q; Pharmaceutical Artificial Intelligence Department, Insilico Medicine, Inc., Baltimore, MD, United States. Electronic address: vanhaelen@insilicomedicine.com.
  • Scheibye-Knudsen M; Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Denmark.
  • Moskalev A; George Mason University, Fairfax, VA, United States.
  • Aliper A; Pharmaceutical Artificial Intelligence Department, Insilico Medicine, Inc., Baltimore, MD, United States.
Ageing Res Rev ; 49: 49-66, 2019 01.
Article em En | MEDLINE | ID: mdl-30472217

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Biomarcadores / Pesquisa Biomédica / Longevidade Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Ageing Res Rev Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Biomarcadores / Pesquisa Biomédica / Longevidade Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Ageing Res Rev Ano de publicação: 2019 Tipo de documento: Article