专家共识大数据收集的皮肤和附属体疾病的表型在中国的专家共识
Shuang Zhao1, Zhongling Luo1, Ying Wang1
1Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410083 China.
Phenomics (Cham, Switzerland)
|October 14, 2024
概括
这项研究标准化了皮肤和部表型的大数据收集,彻底改变了个性化诊断和治疗. 它为中国的现象学研究和临床应用建立了框架.
科学领域:
- 皮肤病学 皮肤病学
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 对皮肤和附属体表型的大数据收集对于个性化医学至关重要.
- 现有的方法缺乏标准化,阻碍了大规模的分析和应用.
- 需要一个系统的方法来有效地收集和测量表型数据.
研究的目的:
- 建立一个标准化系统,用于收集和测量皮肤和部表型的大数据.
- 为测量输入,设备和收集流程提供建议.
- 促进现象学研究,并在中国标准化现象型测量.
主要方法:
- 测量输入的系统分类.
- 为测量,设备和收集过程制定建议.
- 启动一个多中心,多区域的合作,以收集中国人口的数据.
主要成果:
- 已经提出了一个标准化的系统来收集和测量皮肤和附属体表型的大数据.
- 已经制定了测量输入,设备和收集流程的建议.
- 一个多中心,多区域的合作正在进行中,以收集来自中国人口的表型数据.
结论:
- 标准化的现象学数据收集对于推进个性化皮肤病学的发展至关重要.
- 这种共识为中国的现象学研究和现象型测量标准化提供了一个参考.
- 未来的研究将探索表型与疾病的相关性,并开发非侵入性测量技术.
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