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Artificial Intelligence in Cancer Research and Precision Medicine.
Bhinder, Bhavneet; Gilvary, Coryandar; Madhukar, Neel S; Elemento, Olivier.
Afiliação
  • Bhinder B; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, New York.
  • Gilvary C; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York.
  • Madhukar NS; OneThree Biotech, New York, New York.
  • Elemento O; OneThree Biotech, New York, New York.
Cancer Discov ; 11(4): 900-915, 2021 04.
Article em En | MEDLINE | ID: mdl-33811123
Artificial intelligence (AI) is rapidly reshaping cancer research and personalized clinical care. Availability of high-dimensionality datasets coupled with advances in high-performance computing, as well as innovative deep learning architectures, has led to an explosion of AI use in various aspects of oncology research. These applications range from detection and classification of cancer, to molecular characterization of tumors and their microenvironment, to drug discovery and repurposing, to predicting treatment outcomes for patients. As these advances start penetrating the clinic, we foresee a shifting paradigm in cancer care becoming strongly driven by AI. SIGNIFICANCE: AI has the potential to dramatically affect nearly all aspects of oncology-from enhancing diagnosis to personalizing treatment and discovering novel anticancer drugs. Here, we review the recent enormous progress in the application of AI to oncology, highlight limitations and pitfalls, and chart a path for adoption of AI in the cancer clinic.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Medicina de Precisão / Neoplasias / Antineoplásicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Medicina de Precisão / Neoplasias / Antineoplásicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article