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张百红, 岳红云. 抗肿瘤药物临床试验的研究进展[J]. 肿瘤防治研究, 2022, 49(2): 163-166. DOI: 10.3971/j.issn.1000-8578.2022.21.0873
引用本文: 张百红, 岳红云. 抗肿瘤药物临床试验的研究进展[J]. 肿瘤防治研究, 2022, 49(2): 163-166. DOI: 10.3971/j.issn.1000-8578.2022.21.0873
ZHANG Baihong, YUE Hongyun. Research Progress on Clinical Trials of Antitumor Drugs[J]. Cancer Research on Prevention and Treatment, 2022, 49(2): 163-166. DOI: 10.3971/j.issn.1000-8578.2022.21.0873
Citation: ZHANG Baihong, YUE Hongyun. Research Progress on Clinical Trials of Antitumor Drugs[J]. Cancer Research on Prevention and Treatment, 2022, 49(2): 163-166. DOI: 10.3971/j.issn.1000-8578.2022.21.0873

抗肿瘤药物临床试验的研究进展

Research Progress on Clinical Trials of Antitumor Drugs

  • 摘要: 抗肿瘤药物的传统临床试验需要场地,数字临床试验不需要场地或需要场地较少,患者招募、资料收集和结果分析均在线完成。虚拟临床试验通过人工智能分析虚拟患者对数字药物的治疗反应,场地需求小且费用减少。未来的精准临床试验将让更多的受试人群入组试验并接受更优的治疗选择。抗肿瘤药物的临床试验将进入数字、虚拟和精准医学时代。

     

    Abstract: Conventional clinical trials of antitumor drugs are conducted at clinical sites. In contrast, without clinical sites or site-less, digital clinical trials can be performed online. Virtual clinical trials analyze the therapeutic response of virtual patients to digital drugs using artificial intelligence and may reduce the costs of trials. Precision oncology trials based on biomarkers can invite more people to join clinical trials and guide the optimal choice of therapeutics for cancer patients. Oncology clinical trials will enter the era of digital, virtual and precision medicine.

     

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