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Artificial intelligence in cancer research and precision medicine: Applications, limitations and priorities to drive transformation in the delivery of equitable and unbiased care.
Corti, Chiara; Cobanaj, Marisa; Dee, Edward C; Criscitiello, Carmen; Tolaney, Sara M; Celi, Leo A; Curigliano, Giuseppe.
Afiliação
  • Corti C; Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology, IRCCS, Milan 20141, Italy; Department of Oncology and Haematology (DIPO), University of Milan, Milan 20122, Italy. Electronic address: chiara.corti@ieo.it.
  • Cobanaj M; OncoRay, National Center for Radiation Research in Oncology (HZDR), Dresden 01309, Germany.
  • Dee EC; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Criscitiello C; Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology, IRCCS, Milan 20141, Italy; Department of Oncology and Haematology (DIPO), University of Milan, Milan 20122, Italy.
  • Tolaney SM; Dana-Farber Cancer Institute, Boston, MA 02215, USA.
  • Celi LA; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA; Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
  • Curigliano G; Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology, IRCCS, Milan 20141, Italy; Department of Oncology and Haematology (DIPO), University of Milan, Milan 20122, Italy.
Cancer Treat Rev ; 112: 102498, 2023 Jan.
Article em En | MEDLINE | ID: mdl-36527795
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans 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: Inteligência Artificial / Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article