Our Mission
DBMI was founded in the summer of 2009; since then, it has been a Division within the Department of Medicine in the School of Medicine and, in 2015, it also became a Department of UC San Diego Health -- having the tri-partite mission of research, training, and service/collaboration.
News & Events
All of Us Research Program
The mission is simple. We want to speed up health research breakthroughs. To do this, we're asking one million people to share information about their health, habits, and what it's like where they live. By looking for patterns in this information, researchers may learn more about what affects people's health.
Featured Classes
Featured Papers & Books
Lacson R, Yu Y, Kuo TT, Ohno-Machado L Biomedical blockchain with practical implementations and quantitative evaluations: a systematic review. J Am Med Inform Assoc. 2024 May 10:ocae084. doi: 10.1093/jamia/ocae084. Online ahead of print. PMID: 38726710
Johnson B, Shuai Y, Schweinsberg J, Curtius K. cloneRate: fast estimation of single-cell clonal dynamics using coalescent theory. Bioinformatics. 2023 Sep 12:btad561. doi: 10.1093/bioinformatics/btad561. Online ahead of print. PMID: 37699006
Kashani KB, Awdishu L, Bagshaw SM, Barreto EF, Claure-Del Granado R, Evans BJ, Forni LG, Ghosh E, Goldstein SL, Kane-Gill SL, Koola J, Koyner JL, Liu M, Murugan R, Nadkarni GN, Neyra JA, Ninan J, Ostermann M, Pannu N, Rashidi P, Ronco C, Rosner MH, Selby NM, Shickel B, Singh K, Soranno DE, Sutherland SM, Bihorac A, Mehta RL. Digital health and acute kidney injury: consensus report of the 27th Acute Disease Quality Initiative workgroup. Nat Rev Nephrol. 2023 Aug 14. doi: 10.1038/s41581-023-00744-7. Online ahead of print. PMID: 37580570 Review.
Keeler Bruce L, Paul P, Kim KK, Kim J, Keegan THM, Hiatt RA, Ohno-Machado L; All of Us Research Program Investigators. Family and personal history of cancer in the All of Us research program for precision medicine. PLoS One. 2023 Jul 17;18(7):e0288496. doi: 10.1371/journal.pone.0288496. eCollection 2023. PMID: 37459328
Boussina A, Wardi G, Shashikumar SP, Malhotra A, Zheng K, Nemati S. Representation Learning and Spectral Clustering for the Development and External Validation of Dynamic Sepsis Phenotypes: Observational Cohort Study - PubMed (nih.gov) J Med Internet Res. 2023 Jun 23;25:e45614. doi: 10.2196/45614. PMID: 37351927
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