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Screening Cancer Immunotherapy: When Engineering Approaches Meet Artificial Intelligence.

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机构: [1]Department of Bioengineering, University of California, Los Angeles Los Angeles, CA 90095, USA [2]Center for Minimally Invasive Therapeutics, California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA [3]Department of Chemical and Biomolecular Engineering, Henry Samueli School of Engineering and Applied Sciences, University of California, Los Angeles, Los Angeles, CA 90095, USA [4]State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China [5]School of Nursing, Nanjing University of Chinese Medicine, Nanjing 210023, China [6]Department of Biomedical Engineering, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou 511436, China [7]Minimally Invasive Therapeutics Laboratory, Division of Vascular and Interventional Radiology, Mayo Clinic, Phoenix, AZ 85054, USA [8]Harvard–Massachusetts Institute of Technology Division of Health, Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA [9]Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA 90095, USA [10]Department of Radiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA [11]Terasaki Institute for Biomedical Innovation, Los Angeles, CA 90064, USA
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关键词: artificial intelligence cancer immunotherapy drug screening highthroughput screening tissue engineering

摘要:
Immunotherapy is a class of promising anticancer treatments that has recently gained attention due to surging numbers of FDA approvals and extensive preclinical studies demonstrating efficacy. Nevertheless, further clinical implementation has been limited by high variability in patient response to different immunotherapeutic agents. These treatments currently do not have reliable predictors of efficacy and may lead to side effects. The future development of additional immunotherapy options and the prediction of patient-specific response to treatment require advanced screening platforms associated with accurate and rapid data interpretation. Advanced engineering approaches ranging from sequencing and gene editing, to tumor organoids engineering, bioprinted tissues, and organs-on-a-chip systems facilitate the screening of cancer immunotherapies by recreating the intrinsic and extrinsic features of a tumor and its microenvironment. High-throughput platform development and progress in artificial intelligence can also improve the efficiency and accuracy of screening methods. Here, these engineering approaches in screening cancer immunotherapies are highlighted, and a discussion of the future perspectives and challenges associated with these emerging fields to further advance the clinical use of state-of-the-art cancer immunotherapies are provided. © 2020 The Authors. Published by Wiley‐VCH GmbH.

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出版当年[2020]版:
大类 | 1 区 材料科学
小类 | 1 区 化学综合 1 区 材料科学:综合 2 区 纳米科技
最新[2023]版:
大类 | 1 区 材料科学
小类 | 1 区 化学:综合 1 区 材料科学:综合 2 区 纳米科技
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第一作者机构: [1]Department of Bioengineering, University of California, Los Angeles Los Angeles, CA 90095, USA [2]Center for Minimally Invasive Therapeutics, California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA [3]Department of Chemical and Biomolecular Engineering, Henry Samueli School of Engineering and Applied Sciences, University of California, Los Angeles, Los Angeles, CA 90095, USA
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通讯机构: [1]Department of Bioengineering, University of California, Los Angeles Los Angeles, CA 90095, USA [2]Center for Minimally Invasive Therapeutics, California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA [3]Department of Chemical and Biomolecular Engineering, Henry Samueli School of Engineering and Applied Sciences, University of California, Los Angeles, Los Angeles, CA 90095, USA [9]Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA 90095, USA [10]Department of Radiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA [11]Terasaki Institute for Biomedical Innovation, Los Angeles, CA 90064, USA
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