biostudies-literatureCaufield JHNHLBI NIH HHSNational Heart, Lung and Blood Institute at the National Institutes of HealthNIHUCLA Laubisch Endowment to Peipei Ping732-745https://www.ebi.ac.uk/biostudies/studies/S-EPMC9020200biostudies-literatureUnknown118(3)The search for new strategies for better understanding cardiovascular (CV) disease is a constant one, spanning multitudinous types of observations and studies. A comprehensive characterization of each disease state and its biomolecular underpinnings relies upon insights gleaned from extensive information collection of various types of data. Researchers and clinicians in CV biomedicine repeatedly face questions regarding which types of data may best answer their questions, how to integrate information from multiple datasets of various types, and how to adapt emerging advances in machine learning and/or artificial intelligence to their needs in data processing. Frequently lauded as a field with great practical and translational potential, the interface between biomedical informatics and CV mCardiovascular researchCardiovascular informatics: building a bridge to data harmony.PMC9020200R35 HL135772R01 HL146739T32 HL139450Choi HWang DFu JPing PSigdel DGuevara-Gonzalez VCaufield JHfalseCardiovascular informatics: building a bridge to data harmony.The search for new strategies for better understanding cardiovascular (CV) disease is a constant one, spanning multitudinous types of observations and studies. A comprehensive characterization of each disease state and its biomolecular underpinnings relies upon insights gleaned from extensive information collection of various types of data. Researchers and clinicians in CV biomedicine repeatedly face questions regarding which types of data may best answer their questions, how to integrate information from multiple datasets of various types, and how to adapt emerging advances in machine learning and/or artificial intelligence to their needs in data processing. Frequently lauded as a field with great practical and translational potential, the interface between biomedical informatics and CV m2022-01-01T00:00:00Z2022 Feb2025-04-05T15:23:21.061Z2025-04-05T15:23:21.061ZS-EPMC90202003375104410.1093/cvr/cvab067