使用数字双胞胎开发癌症治疗的进展和关键方面
Rym Bouriga1, Caroline Bailleux1, Jocelyn Gal2
1Department of Medical Oncology, Antoine Lacassagne Center, University Côte d'Azur, 33 Avenue de Valombrose, 06189 Nice, France.
数字双胞胎 (DTs) 通过复制患者和瘤数据,为个性化癌症治疗提供动态平台. 虽然对适应性试验有希望,但DT面临着不可靠的预测和偏见等挑战,需要跨学科的合作才能取得进展.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 计算生物学 计算生物学
背景情况:
- 数字双胞胎 (DTs) 正在成为医疗保健中的强大工具,反映了人工智能在药物开发中的影响.
- DTs可以动态复制患者和瘤特征,为癌症治疗策略提供一种新的方法.
研究的目的:
- 探索DTs在加强抗癌治疗临床研究方面的潜力.
- 确定在癌症研究和患者护理中实施数据技术的好处和挑战.
主要方法:
- 利用DTs创建虚拟患者和瘤模型,以与传统试验数据进行比较分析.
- 利用DT能力,在正在进行的适应性设计临床试验中增加患者数据.
主要成果:
- 通过虚拟试验数据比较,DT显示了通过虚拟试验数据比较来提高临床研究可靠性的潜力.
- 即使在有限的患者队列中,DT也可以实现适应性试验设计和更强大的统计分析.
结论:
- 在个性化癌症治疗和临床研究方法方面,DTs是一个重大突破.
- 解决技术挑战,如预测可靠性,偏差和可解释性,对于DT进步至关重要.
- 涉及数学家,生物学家和医生的跨学科方法对于释放DTs在瘤学中的全部潜力至关重要.
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