The emerging roles of artificial intelligence in cancer drug development and precision therapy - 18/06/20
, Xiao Zhu a, ⁎ Bienvenido a EM-consulte, la referencia de los profesionales de la salud.
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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. |
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.
El texto completo de este artículo está disponible en PDF.Abbreviations : AI, CDSS, PD-1, HLA, PARP, HR
Keywords : Artificial intelligence, Anticancer therapy, Drug development, Precision therapy
Esquema
Vol 128
Artículo 110255- août 2020 Regresar al número
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Bienvenido a EM-consulte, la referencia de los profesionales de la salud.
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Bienvenido a EM-consulte, la referencia de los profesionales de la salud.
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