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Predicting efficacy of drug-carrier nanoparticle designs for cancer treatment: a machine learning-based solution.
Kibria, Md Raisul; Akbar, Refo Ilmiya; Nidadavolu, Poonam; Havryliuk, Oksana; Lafond, Sébastien; Azimi, Sepinoud.
Afiliação
  • Kibria MR; Faculty of Science and Engineering, Åbo Akademi University, 20500, Turku, Finland. raisul.kibria@abo.fi.
  • Akbar RI; Faculty of Science and Engineering, Åbo Akademi University, 20500, Turku, Finland.
  • Nidadavolu P; Faculty of Science and Engineering, Åbo Akademi University, 20500, Turku, Finland.
  • Havryliuk O; Faculty of Science and Engineering, Åbo Akademi University, 20500, Turku, Finland.
  • Lafond S; Faculty of Science and Engineering, Åbo Akademi University, 20500, Turku, Finland.
  • Azimi S; Faculty of Science and Engineering, Åbo Akademi University, 20500, Turku, Finland.
Sci Rep ; 13(1): 547, 2023 01 11.
Article em En | MEDLINE | ID: mdl-36631637
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Portadores de Fármacos / Neoplasias Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Portadores de Fármacos / Neoplasias Idioma: En Ano de publicação: 2023 Tipo de documento: Article