Zhongliu Fangzhi Yanjiu (May 2024)

Conceptual Framework of A Next-generation General-purpose Clinical Scientific Disease Database

  • PENG Min,
  • CHEN Qianru,
  • CHEN Kai

DOI
https://doi.org/10.3971/j.issn.1000-8578.2024.23.1224
Journal volume & issue
Vol. 51, no. 5
pp. 321 – 327

Abstract

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Empowered by the rapid development of artificial intelligence technology and information security technology, basic medicine, translational medicine, and clinical medicine have entered a new era. In this process, the relevant data such as text, genetics, images, and videos have increased at an astonishing rate. Traditional specialized disease databases cannot adapt to the multimodality of data and the multicentralization of data sources in the present/future. Therefore, establishing a next-generation multimodal and multicenter collaborative specialized disease database that is suitable for secure data sharing and ethical in clinical research is essential. This paper expounds the concept and basic framework of developing a next-generation clinical research disease database with universal use, emphasizing the establishment of a multimodal data integration mechanism, a multicenter collaborative system supported by privacy-preserving computing, highly intelligent software and hardware entities, and an integrated operational management mode. It also introduces the application of this concept in the construction of a breast cancer three-dimensional life database, a project of China Breast Cancer Innovation Alliance.

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