周围血液的Omics和其他基于复合体的系统在肺部和重症监护医学的医学
Joseph Balnis1,2, Eitel J M Lauria3, Recai Yucel4
1Division of Pulmonary and Critical Care Medicine and.
概括
周围血液大数据和机器学习增强对肺部和重症监护条件的理解. 本综述介绍了血液科学方法和应用,用于临床解释和未来的潜力.
科学领域:
- 肺部和重症监护医学 肺部和重症监护医学
- 生物技术是生物技术.
- 数据科学数据科学数据科学
背景情况:
- 从外围血液获得的大数据集和机器学习越来越多地用于肺部和重症监护.
- 这些技术加速了呼吸道和危急疾病的理解,预测和管理.
研究的目的:
- 在肺部和重症监护医学中引入血液奥米克和多重技术的方法和应用.
- 为读者提供解释该领域当前文献的基本概念.
主要方法:
- 讨论从循环血液分子生成大数据集.
- 解释了批量,排序和单细胞方法之间的差异.
- 详细介绍临床解释的基本分析管道.
主要成果:
- 介绍了近期文献中外围血液衍生的大数据集的例子.
- 突出了当前血液奥米克技术的局限性.
结论:
- 血液奥米克和多重技术在肺部和重症监护中具有显著价值.
- 了解这些方法对于理解当前和未来该领域的研究至关重要.
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