瘤学中的数字双胞胎:从预测建模到个性化治疗策略
David B Olawade1, Emmanuel O Oisakede2, Oluwakemi Jumoke Bello3
1Department of Allied and Public Health, School of Health, Sport and Bioscience, University of East London, London, E16 2RD, UK; Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham, Kent ME7 5NY, UK; Department of Public Health, York St John University, London, E14 2BA, UK.
数字双胞胎 (DTs) 为个性化癌症护理创建虚拟患者复制品. 本综述探讨了DT在瘤学中的应用,从治疗选择到生存率,强调其临床应用的潜力和挑战.
科学领域:
- 生物医学工程 生物医学工程
- 计算瘤学计算瘤学
- 数字健康数字健康
背景情况:
- 数字双胞胎 (DT) 概念起源于工程,是医疗保健中的一个变革性技术.
- 诊断技术人员创建动态的,虚拟的患者复制品,整合多维数据,以提供个性化的癌症护理.
- 对DT在瘤学中的应用进行全面的审查是有限的.
研究的目的:
- 综合当前关于瘤学数字双胞胎应用的证据.
- 评估DTs在改变癌症护理提供方面的潜力.
- 确定阻碍DT技术临床转化所面临的挑战.
主要方法:
- 采用了一个叙事审查方法.
- 在PubMed,Scopus,Web of Science和IEEE Xplore (开始至2025年9月) 进行全面的文献搜索.
- 包括关于DT开发,验证或在任何癌症类型中应用的研究,并补充了灰色文献和专家评论.
主要成果:
- DTs在癌症治疗连续性中显示出应用:精确治疗,放射治疗优化,药物开发,免疫瘤学,手术规划和生存.
- 多组学,成像生物标志物和AI的整合使瘤行为和治疗反应的动态模拟成为可能.
- 关键的挑战包括数据集成,模型验证,计算可扩展性和道德治理.
结论:
- 数字双胞胎技术对通过预测性,个性化和适应性护理推进精确瘤学具有重大前景.
- 跨学科合作和监管框架的制定对于临床实施至关重要.
- 解决目前的局限性对于实现DTs在瘤学中的全部潜力至关重要.
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