Artificial intelligence in cancer research, diagnosis and therapy

Elemento, Olivier; Leslie, Christina; Lundin, Johan; Tourassi, Georgia

doi:10.1038/s41568-021-00399-1

Title: Artificial intelligence in cancer research, diagnosis and therapy

Journal Article · 17 September 2021 · Nature reviews. Cancer

DOI: https://doi.org/10.1038/s41568-021-00399-1 · OSTI ID:1823315

^[1];

^[2]; Lundin, Johan ^[3];

^[4]

Cornell Univ., Ithaca, NY (United States). Caryl and Israel Englander Inst. for Precision Medicine
Memorial Sloan Kettering Cancer Center, New York, NY (United States). Sloan Kettering Institute
Univ. of Helsinki (Finland). Institute for Molecular Medicine Finland (FIMM); Univ. of Helsinki (Finland). iCAN Digital Precision Cancer Medicine Flagship
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). National Center for Computational Sciences (NCCS)

Artificial intelligence and machine learning techniques are breaking into biomedical research and health care, which importantly includes cancer research and oncology, where the potential applications are vast. These include detection and diagnosis of cancer, subtype classification, optimization of cancer treatment and identification of new therapeutic targets in drug discovery. While big data used to train machine learning models may already exist, leveraging this opportunity to realize the full promise of artificial intelligence in both the cancer research space and the clinical space will first require significant obstacles to be surmounted. In this Viewpoint article, we asked four experts for their opinions on how we can begin to implement artificial intelligence while ensuring standards are maintained so as transform cancer diagnosis and the prognosis and treatment of patients with cancer and to drive biological discovery.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1823315

Journal Information:: Nature reviews. Cancer, Journal Name: Nature reviews. Cancer Journal Issue: 12 Vol. 21; ISSN 1474-175X

Publisher:: Springer NatureCopyright Statement

Country of Publication:: United States

Language:: English

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