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Predicting T-cell quality during manufacturing through an artificial intelligence-based integrative multiomics analytical platform.
Odeh-Couvertier, Valerie Y; Dwarshuis, Nathan J; Colonna, Maxwell B; Levine, Bruce L; Edison, Arthur S; Kotanchek, Theresa; Roy, Krishnendu; Torres-Garcia, Wandaliz.
Afiliación
  • Odeh-Couvertier VY; Department of Industrial Engineering University of Puerto Rico Mayagüez Mayagüez Puerto Rico USA.
  • Dwarshuis NJ; The Wallace H. Coulter Department of Biomedical Engineering Georgia Institute of Technology Atlanta Georgia USA.
  • Colonna MB; Departments of Genetics and Biochemistry & Molecular Biology, Complex Carbohydrate Research Center University of Georgia Athens Georgia USA.
  • Levine BL; Center for Cellular Immunotherapies, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA.
  • Edison AS; Departments of Genetics and Biochemistry & Molecular Biology, Complex Carbohydrate Research Center University of Georgia Athens Georgia USA.
  • Kotanchek T; Evolved Analytics LLC Rancho Santa Fe California USA.
  • Roy K; The Wallace H. Coulter Department of Biomedical Engineering Georgia Institute of Technology Atlanta Georgia USA.
  • Torres-Garcia W; Department of Industrial Engineering University of Puerto Rico Mayagüez Mayagüez Puerto Rico USA.
Bioeng Transl Med ; 7(2): e10282, 2022 May.
Article en En | MEDLINE | ID: mdl-35600660
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioeng Transl Med Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioeng Transl Med Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos