Suppr超能文献

算法在分子肿瘤专家委员会中的作用——弥合精准医学研究与临床之间的差距

The Role of Algorithms in Molecular Tumour Boards-Managing the Gap Between Research and Clinic in Precision Medicine.

作者信息

Hofmann Dominik, Esposito Elena

机构信息

Faculty of Sociology, Bielefeld University, Bielefeld, Germany.

Department of Political and Social Sciences, University of Bologna, Bologna, Italy.

出版信息

Sociol Health Illn. 2025 May;47(4):e70040. doi: 10.1111/1467-9566.70040.

Abstract

The article explores the role of algorithmic procedures in the implementation of the programme of precision medicine (PM), currently pursued in molecular tumour boards (MTBs) that emerged from the confluence of previous tumour boards and the increasing molecularisation of medicine. Our observation of the deliberations in MTBs, confirmed by interviews with participants, shows that the crucial contribution of algorithms in all stages of the processing of molecular data is neither acknowledged nor mentioned. One reason, we argue, is that these highly innovative technologies are very distant from the traditional skills and training of clinicians. The mediation through MTBs provides algorithmic procedures with the viability required to be implemented in medical decisions-and is more effective the more it goes unnoticed. Contrary to the widespread assumption of a blurring boundary between research and care, we claim that the intensification of contacts and exchanges among research endeavours and clinical operations makes the separation between the two fields increasingly sharp. As a consequence, there is a need for new forms of translation, which are accomplished by MTBs.

摘要

本文探讨了算法程序在精准医学(PM)计划实施中的作用,精准医学计划目前在分子肿瘤委员会(MTB)中推行,分子肿瘤委员会由先前的肿瘤委员会与医学日益分子化融合而成。我们对分子肿瘤委员会讨论情况的观察,并经与参与者访谈证实,结果表明算法在分子数据处理各阶段的关键作用既未得到认可,也未被提及。我们认为,原因之一在于这些高度创新的技术与临床医生的传统技能和培训相差甚远。通过分子肿瘤委员会进行的调解为算法程序在医疗决策中得以实施提供了所需的可行性——而且越不被注意就越有效。与普遍认为研究与医疗之间界限模糊的观点相反,我们认为研究工作与临床操作之间联系和交流的强化使得这两个领域的分离日益明显。因此,需要由分子肿瘤委员会来完成新形式的转化。

相似文献

7
Patient attrition in Molecular Tumour Boards: a systematic review.肿瘤分子病理多学科讨论中患者脱落:系统评价。
Br J Cancer. 2022 Nov;127(8):1557-1564. doi: 10.1038/s41416-022-01922-3. Epub 2022 Aug 8.
8
[Molecular tumor boards - insights and perspectives].[分子肿瘤学专家组——见解与展望]
Pathologe. 2021 Jul;42(4):357-362. doi: 10.1007/s00292-021-00955-4. Epub 2021 Jun 25.

本文引用的文献

3
Where Medical Statistics Meets Artificial Intelligence.医学统计学与人工智能的交汇之处。
N Engl J Med. 2023 Sep 28;389(13):1211-1219. doi: 10.1056/NEJMra2212850.
4
Artificial Intelligence in Molecular Medicine.分子医学中的人工智能
N Engl J Med. 2023 Jun 29;388(26):2456-2465. doi: 10.1056/NEJMra2204787.
7
Patient attrition in Molecular Tumour Boards: a systematic review.肿瘤分子病理多学科讨论中患者脱落:系统评价。
Br J Cancer. 2022 Nov;127(8):1557-1564. doi: 10.1038/s41416-022-01922-3. Epub 2022 Aug 8.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验