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Synergistic combination therapy delivered via layer-by-layer nanoparticles induces solid tumor regression of ovarian cancer.
Kong, Stephanie; Moharil, Pearl; Handly-Santana, Abram; Boehnke, Natalie; Panayiotou, Richard; Gomerdinger, Victoria; Covarrubias, Gil; Pires, Ivan S; Zervantonakis, Ioannis; Brugge, Joan; Hammond, Paula T.
Afiliação
  • Kong S; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology Cambridge Massachusetts United States.
  • Moharil P; Department of Chemical Engineering Massachusetts Institute of Technology Cambridge Massachusetts United States.
  • Handly-Santana A; Harvard Medical School Harvard University Boston Massachusetts United States.
  • Boehnke N; Harvard Medical School Harvard University Boston Massachusetts United States.
  • Panayiotou R; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology Cambridge Massachusetts United States.
  • Gomerdinger V; Harvard Medical School Harvard University Boston Massachusetts United States.
  • Covarrubias G; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology Cambridge Massachusetts United States.
  • Pires IS; Department of Chemical Engineering Massachusetts Institute of Technology Cambridge Massachusetts United States.
  • Zervantonakis I; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology Cambridge Massachusetts United States.
  • Brugge J; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology Cambridge Massachusetts United States.
  • Hammond PT; Department of Chemical Engineering Massachusetts Institute of Technology Cambridge Massachusetts United States.
Bioeng Transl Med ; 8(2): e10429, 2023 Mar.
Article em En | MEDLINE | ID: mdl-36925689
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article