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相关概念视频

Longitudinal Research02:20

Longitudinal Research

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Longitudinal Studies01:26

Longitudinal Studies

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Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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AstroID资源:用于纵向生物标志物发现的可扩展的关系数据库结构.

Elizabeth M Will1, Benjamin F Green1, Scott Carey2

  • 1Dermatology, Johns Hopkins University, Baltimore, Maryland, USA.

Journal for immunotherapy of cancer
|December 25, 2025
PubMed
概括

一个新的数据库模型,AstroID,通过将纵向患者数据与生物样本集成来促进生物标志物发现. 这种灵活,可扩展的结构支持生物科学和临床注释的复杂研究需求.

关键词:
生物标志物生物标志物活检是为了检查生物质.黑色素瘤是一种黑色素瘤.病理学 病理学 病理学瘤微环境 - - 瘤微环境

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科学领域:

  • 生物医学信息学 生物医学信息学
  • 基因组学就是基因组学.
  • 翻译研究是翻译研究.

背景情况:

  • 生物科学为生物标志物发现产生大型数据集.
  • 现有的数据模型缺乏支持与患者经验相关的纵向生物标本跟踪.
  • 对于全面的生物标志物研究,需要一个强大的数据模型.

研究的目的:

  • 开发一种新的数据结构,用于整合临床和生物样本数据.
  • 为了支持生物标志物发现的生物标本的纵向跟踪和分析.
  • 为生物医学研究创建一个灵活,可扩展和用户友好的资源.

主要方法:

  • 使用研究电子数据捕获 (REDCap) 构建了一个六层数据结构.
  • 开发了用于将数据导出到SQL格式的模块,以便与生物标记数据集成.
  • 数据字典与现有的大型数据模型保持一致,例如人类瘤地图网络.

主要成果:

  • AstroID资源是一个可搜索,灵活和符合HIPAA的关系数据库.
  • 该结构支持成千上万的患者,多模式数据和数十亿个细胞的空间表征.
  • 实例证明了它在黑色素瘤和其他疾病的生物标志物发现中的应用.

结论:

  • AstroID为涉及大量生物样本和临床注释的研究提供了有价值的数据库模型.
  • 该结构可适应在各种疾病过程中对纵向生物标本进行表征.
  • 预计未来将与电子医疗记录进行整合,以加强数据同步.