Expert Consensus on Big Data Collection of Skin and Appendage Disease Phenotypes in Chinese.

IF 3.7 Q2 GENETICS & HEREDITY
Phenomics (Cham, Switzerland) Pub Date : 2024-08-19 eCollection Date: 2024-06-01 DOI:10.1007/s43657-023-00142-w
Shuang Zhao, Zhongling Luo, Ying Wang, Xinghua Gao, Juan Tao, Yong Cui, Aijun Chen, Daxing Cai, Yan Ding, Heng Gu, Jianying Gu, Chao Ji, Xiaojing Kang, Qianjin Lu, Chengzhi Lv, Min Li, Wei Li, Wei Liu, Xia Li, Yuzhen Li, Xiaoyong Man, Jianjun Qiao, Liangdan Sun, Yuling Shi, Wenyu Wu, Jianxin Xia, Rong Xiao, Bin Yang, Yehong Kuang, Zeyu Chen, Jingyue Fang, Jian Kang, Minghui Yang, Mi Zhang, Juan Su, Xuejun Zhang, Xiang Chen
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引用次数: 0

Abstract

The collection of big data on skin and appendage phenotypes has revolutionized the field of personalized diagnosis and treatment by enabling the evaluation of individual characteristics and early detection of abnormalities. To establish a standardized system for collecting and measuring big data on phenotypes, a systematic categorization of measurement entries has been undertaken, accompanied by recommendations on measurement entries, environmental equipment requirements, and collection processes, tailored to the needs of different usage scenarios. Specific collection sites have also been recommended based on different index characteristics. A multi-center, multi-regional collaboration has been initiated to collect big date on phenotypes of healthy and diseased skin in the Chinese population. This data will be correlated with patient disease information, exploring the factors influencing skin phenotype, analyzing the phenotypic data features that can predict prognosis, and ultimately promoting the exploration of the pathophysiology and pathogenesis of skin diseases and therapeutic approaches. Non-invasive skin measurement robots are also in development. This consensus aims to provide a reference for the study of phenomics and the standardization of phenotypic measurements of skin and appendages in China.

中国皮肤和附属器官疾病表型大数据收集专家共识》。
收集皮肤和附属器官表型大数据可评估个体特征和早期发现异常,从而彻底改变个性化诊断和治疗领域。为了建立收集和测量表型大数据的标准化系统,我们对测量条目进行了系统分类,并根据不同使用场景的需要,对测量条目、环境设备要求和收集流程提出了建议。此外,还根据不同的指数特征推荐了具体的收集地点。多中心、多地区的合作已经启动,以收集中国人群健康和疾病皮肤表型的重要数据。这些数据将与患者疾病信息相关联,探索影响皮肤表型的因素,分析可预测预后的表型数据特征,最终促进皮肤病病理生理、发病机制和治疗方法的探索。无创皮肤测量机器人也在研发之中。本共识旨在为中国的表型组学研究和皮肤及附属器表型测量的标准化提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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