| 肺癌免疫治疗中分离反应的研究进展 |
| 投稿时间：2022-10-04 修订日期：2022-10-18 点此下载全文 |
| 引用本文：陈可娇,陈公琰.肺癌免疫治疗中分离反应的研究进展[J].医学研究杂志,2024,53(1):9-12 |
| DOI：
10.11969/j.issn.1673-548X.2024.01.003 |
| 摘要点击次数: 825 |
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| 基金项目:国家自然科学基金资助项目(81871872) |
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| 中文摘要:肺癌是世界上最常见的恶性肿瘤之一,也是全球癌症死亡的主要原因[1]。近年来,随着免疫检查点抑制剂(immune checkpoint inhibitors,ICIs) 的应用、发展与兴起,一小部分晚期非小细胞肺癌(non-small cell lung cancer,NSCLC) 患者可从中获益。随着对ICIs药物应用后治疗效果的观察,与化疗药物及靶向药物可引起的典型反应,包括完全缓解(complete response,CR)、部分缓解(partial response,PR)、疾病稳定(stable disease,SD)、疾病进展(progressive disease,PD)比较,ICIs可引起另一种非典型反应模式,包括超进展、假性进展、分离反应等。与前两种非典型反应模式比较,目前的研究数据对分离反应的研究报道相对较少。本文回顾一些分离反应的研究,探讨其意义并思考其后续治疗方法。 |
| 中文关键词:肺癌 免疫治疗 分离反应 |
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| Applications of Intelligent Governance in the Health Field from the Perspective of Sociology——Taking Peking University Third Hospital as an Example |
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| Abstract:Purpose/Significance To conduct the real world research on the application and impact of artificial intelligence (AI) technology in medical institutions, and to assist in intelligent governance decision-making in the field of medicine and health. Method/Process Taking Peking University Third Hospital as the research scene, the AI medical social experiment is carried out through literature meta-analysis, knowledge graph construction and mixed methodology research.Result/Conclusion Scholars at home and abroad are cautious and optimistic about the application of AI technology in the field of health. The research, development and application of AI technology in domestic public hospitals are very active, but small-scale field studies suggest that AI technology may lead to problems such as misleading decision-making and weakening of human subjectivity while improving the efficiency of diagnosis and treatment. Intelligent governance in the field of health, represented by AI technology, requires a long period and a wide range of sociological observations. It is recommended to build a research base for medical AI technology R&D and supervision based on public hospitals, and continue to pay attention to issues such as human subjectivity, medical ethics and scientific and technological ethics in AI social governance. |
| keywords:artificial intelligence social experiment medical institution knowledge graph AI social governance |
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