4.7 Article

Biomedical Informatics on the Cloud A Treasure Hunt for Advancing Cardiovascular Medicine

期刊

CIRCULATION RESEARCH
卷 122, 期 9, 页码 1290-1301

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1161/CIRCRESAHA.117.310967

关键词

cardiovascular disease; environment; informatics; machine learning; metadata

资金

  1. National Institutes of Health [U54 GM114833, U41 HG003751, U01 HL137159, R01 LM012087, R35 HL135772]
  2. T.C. Laubisch endowment at UCLA

向作者/读者索取更多资源

In the digital age of cardiovascular medicine, the rate of biomedical discovery can be greatly accelerated by the guidance and resources required to unearth potential collections of knowledge. A unified computational platform leverages metadata to not only provide direction but also empower researchers to mine a wealth of biomedical information and forge novel mechanistic insights. This review takes the opportunity to present an overview of the cloud-based computational environment, including the functional roles of metadata, the architecture schema of indexing and search, and the practical scenarios of machine learning-supported molecular signature extraction. By introducing several established resources and state-of-the-art workflows, we share with our readers a broadly defined informatics framework to phenotype cardiovascular health and disease.

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