Machine intelligence for precision oncology

doi:10.5528/wjtm.v9.i1.1

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Mar 15, 2021 (publication date) through Apr 25, 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 5 A neural network in deep learning of cancer-derived multi-omics. The input consists of multi-omics data derived from various cancers. The output includes classification and risk stratification of cancer, predicting prognosis, and investigating gene regulation/biomarkers/biological mechanism, as well as drug discovery and development.

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