The emerging roles of artificial intelligence in cancer drug development and precision therapy - 18/06/20

Doi : 10.1016/j.biopha.2020.110255

Guosheng Liang ^a,^{^{1
Guosheng Liang and Wenguo Fan contributed equally to this work.}}, Wenguo Fan ^b,^{^{1
Guosheng Liang and Wenguo Fan contributed equally to this work.}}, Hui Luo ^a,⁎ , Xiao Zhu ^a,⁎
^a Southern Marine Science and Engineering Guangdong Laboratory Zhanjiang, The Marine Medical Research Institute of Guangdong Zhanjiang (GDZJMMRI), Guangdong Medical University, Zhanjiang, China
^b Department of Anesthesiology, Guanghua School of Stomatology, Hospital of Stomatology, Sun Yat‐sen University, Guangzhou, China

^⁎Corresponding authors.

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Highlights

•	AI can quickly understand how cancer cells become resistant to anticancer drugs, which can help improve drug development and adjust drug use.
•	AI improves the identification of tumor neoantigens and the efficacy of tumor immunotherapy.
•	AI can help radiologists map target areas or automatically plan radiation treatment programs.
•	AI can manage the use of chemotherapy drugs and predict the tolerance of chemotherapy drugs, so as to optimize the chemotherapy regimen.
•	AI can help doctors make correct treatment decisions, reduce unnecessary surgeries, and help oncologists improve patients' cancer treatment plans.

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Abstract

Artificial intelligence (AI) has strong logical reasoning ability and independent learning ability, which can simulate the thinking process of the human brain. AI technologies such as machine learning can profoundly optimize the existing mode of anticancer drug research. But at present AI also has its relative limitation. In this paper, the development of artificial intelligence technology such as deep learning and machine learning in anticancer drug research is reviewed. At the same time, we look forward to the future of AI.

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Abbreviations : AI, CDSS, PD-1, HLA, PARP, HR

Keywords : Artificial intelligence, Anticancer therapy, Drug development, Precision therapy