利用数据科学和新技术,在重症监护中开发和实施精准医学策略
Lazaro N Sanchez-Pinto1, Sivasubramanium V Bhavani2, Mihir R Atreya3
1Department of Pediatrics, Northwestern University Feinberg School of Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA.
Critical care clinics
|September 13, 2023
概括
精准医学根据数据科学和多态学来定制患者子组的治疗方法. 这种方法通过利用重症监护病房数据,为精密重症监护提供了新的机会.
科学领域:
- 关键护理医学 关键护理医学
- 生物医学数据科学是生物医学数据科学.
- 基因组学和多基因组学
背景情况:
- 精准医学旨在优化基于共同特征的特定患者亚组的治疗疗效.
- 显著的挑战阻碍了精准医学在重症监护中的发展和实施.
- 重症监护病房 (ICU) 产生大量数据,为数据驱动的医疗保健创造了一个丰富的生态系统.
研究的目的:
- 审查精密重症监护的数据驱动和基于技术的战略.
- 探索在重症监护机构中的多学科和数据科学的潜力.
- 突出在ICU实现精准医学的机会.
主要方法:
- 关于重症监护中的数据科学应用现有文献的综述.
- 分析在重症监护机构的多主题数据集成.
- 检查基于技术的方法,用于精准医学的发现和实施.
主要成果:
- 数据科学和多学科为推进精确临床护理提供了强大的工具.
- 密切治疗室的数据丰富环境有助于制定个性化治疗策略.
- 利用技术使得在重症监护中发现和实施精准医学成为可能.
结论:
- 精确的临床护理是可以通过数据科学,多omics和先进技术的整合来实现的.
- 数据驱动的方法在改善重症监护中的患者结果方面具有显著的前景.
- 克服实施差距是实现精准医学在重症监护中的全部潜力的关键.
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