Machine intelligence for precision oncology

doi:10.5528/wjtm.v9.i1.1

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Mar 15, 2021 (publication date) through Nov 30, 2024

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World Journal of Translational Medicine

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2220-6132

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Transl Med. Mar 15, 2021; 9(1): 1-10
Published online Mar 15, 2021. doi: 10.5528/wjtm.v9.i1.1

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Figure 6 Multi-modal deep learning for precision oncology. The input comprises clinicopathological datasets from healthy individuals and patients with cancers. The output includes a variety of predicted outcomes that form the basis of precision oncology.

Citation: Yee NS. Machine intelligence for precision oncology. World J Transl Med 2021; 9(1): 1-10
URL: https://www.wjgnet.com/2220-6132/full/v9/i1/1.htm
DOI: https://dx.doi.org/10.5528/wjtm.v9.i1.1